Dates
Tracks
Wed 30 AprDisplayed time zone: Eastern Time (US & Canada) change
Wed 30 Apr
Displayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Formal Methods 1Research Track / New Ideas and Emerging Results (NIER) at 103 Chair(s): Cristian Cadar Imperial College London | ||
11:00 15mTalk | SpecGen: Automated Generation of Formal Program Specifications via Large Language ModelsFormal Methods Research Track Lezhi Ma Nanjing University, Shangqing Liu Nanyang Technological University, Yi Li Nanyang Technological University, Xiaofei Xie Singapore Management University, Lei Bu Nanjing University | ||
11:15 15mTalk | Gpass: a Goal-adaptive Neural Theorem Prover based on Coq for Automated Formal VerificationFormal Methods Research Track Yizhou Chen Peking University, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Guoqing Wang Peking University, Dan Hao Peking University | ||
11:30 15mTalk | AI-Assisted Autoformalization of Combinatorics Problems in Proof AssistantsFormal Methods New Ideas and Emerging Results (NIER) | ||
11:45 15mTalk | Formally Verified Binary-level Pointer AnalysisFormal Methods Research Track Freek Verbeek Open Universiteit & Virginia Tech, Ali Shokri Virginia Tech, Daniel Engel Open University Of The Netherlands, Binoy Ravindran Virginia Tech | ||
12:00 15mTalk | EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution FrameworkFormal Methods Research Track ziji wu National University of Defense Technology, yu huang National University of Defense Technology, peishan huang National University of Defense Technology, shanghua wen National University of Defense Technology, minglong li National University of Defense Technology, Ji Wang National University of Defense Technology | ||
12:15 7mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
12:22 7mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
11:00 - 12:30 | |||
11:00 15mTalk | An Empirical Study on Package-Level Deprecation in Python Ecosystem Research Track Zhiqing Zhong The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shilin He Microsoft Research, Haoxuan Wang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), BoXi Yu The Chinese University of Hong Kong, Shenzhen, Haowen Yang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Pinjia He Chinese University of Hong Kong, Shenzhen | ||
11:15 15mTalk | Datalog-Based Language-Agnostic Change Impact Analysis for Microservices Research Track Qingkai Shi Nanjing University, Xiaoheng Xie Ant Group, Xianjin Fu Ant Group, Peng Di Ant Group & UNSW Sydney, Huawei Li Alibaba Inc., Ang Zhou Ant Group, Gang Fan Ant Group | ||
11:30 15mTalk | GenC2Rust: Towards Generating Generic Rust Code from C Research Track | ||
11:45 15mTalk | Instrumentation-Driven Evolution-Aware Runtime Verification Research Track | ||
12:00 15mTalk | Moye: A Wallbreaker for Monolithic Firmware Research Track Jintao Huang Institute of Information Engineering, Chinese Academy of Science & University of Chinese Academy of Sciences, Beijing, China, Kai Yang School of Computer, Electronics and Information, Guangxi University, Gaosheng Wang Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Zhiqiang Shi Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Zhiwen Pan Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Shichao Lv Institute of Information Engineering, Chinese Academy of Science, Limin Sun Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China | ||
12:15 15mTalk | Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem Research Track Xingyu Wang Zhejiang University, MingSen Wang Zhejiang University, Wenbo Shen Zhejiang University, Rui Chang Zhejiang University | ||
11:00 - 12:30 | Testing and QA 1Research Track / Journal-first Papers at 205 Chair(s): Jonathan Bell Northeastern University | ||
11:00 15mTalk | Critical Variable State-Aware Directed Greybox Fuzzing Research Track Xu Chen Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Ningning Cui Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Zhe Pan Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Liwei Chen Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Gang Shi Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Dan Meng Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
11:15 15mTalk | LWDIFF: An LLM-Assisted Differential Testing Framework for WebAssembly Runtimes Research Track Shiyao Zhou The Hong Kong Polytechnic University, Jincheng Wang Hong Kong Polytechnic University, He Ye University College London (UCL), Hao Zhou The Hong Kong Polytechnic University, Claire Le Goues Carnegie Mellon University, Xiapu Luo Hong Kong Polytechnic University | ||
11:30 15mTalk | No Harness, No Problem: Oracle-guided Harnessing for Auto-generating C API Fuzzing Harnesses Research Track | ||
11:45 15mTalk | Parametric Falsification of Many Probabilistic Requirements under Flakiness Research Track | ||
12:00 15mTalk | REDII: Test Infrastructure to Enable Deterministic Reproduction of Failures for Distributed Systems Research Track Yang Feng Nanjing University, Zheyuan Lin Nanjing University, Dongchen Zhao Nanjing University, Mengbo Zhou Nanjing University, Jia Liu Nanjing University, James Jones University of California at Irvine | ||
12:15 15mTalk | Adopting Automated Bug Assignment in Practice - A Longitudinal Case Study at Ericsson Journal-first Papers Markus Borg CodeScene, Leif Jonsson Ericsson AB, Emelie Engstrom Lund University, Béla Bartalos Verint, Attila Szabo Ericsson | ||
11:00 - 12:30 | Human and Social Process 1SE In Practice (SEIP) / New Ideas and Emerging Results (NIER) / Journal-first Papers at 207 Chair(s): Hausi Müller University of Victoria | ||
11:00 15mTalk | Toward a Theory on Programmer's Block Inspired by Writer's Block Journal-first Papers Belinda Schantong Chemnitz University of Technology, Norbert Siegmund Leipzig University, Janet Siegmund Chemnitz University of Technology Link to publication | ||
11:15 15mTalk | Digital Twins for Software Engineering Processes New Ideas and Emerging Results (NIER) Robin Kimmel University of Stuttgart, Judith Michael University of Regensburg, Andreas Wortmann University of Stuttgart, Jingxi Zhang University of Stuttgart Pre-print | ||
11:30 15mTalk | Discovering Ideologies of the Open Source Software Movement New Ideas and Emerging Results (NIER) Yang Yue California State University San Marcos, Yi Wang Beijing University of Posts and Telecommunications, David Redmiles University of California, Irvine | ||
11:45 15mTalk | Identifying Factors Contributing to ``Bad Days'' for Software Developers: A Mixed-Methods Study SE In Practice (SEIP) Ike Obi Purdue University, West Lafayette, Jenna L. Butler Microsoft Research, Sankeerti Haniyur Microsoft Corporation, Brian Hassan Microsoft Corporation, Margaret-Anne Storey University of Victoria, Brendan Murphy Microsoft Corporation | ||
12:00 15mTalk | Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven EraAward Winner SE In Practice (SEIP) Sukrit Kumar Georgia Institute of Technology, Drishti Goel Microsoft, Thomas Zimmermann University of California, Irvine, Brian Houck Microsoft Research, B. Ashok Microsoft Research. India, Chetan Bansal Microsoft Research | ||
12:15 15mTalk | Wearables to measure developer experience at work SE In Practice (SEIP) Charlotte Brandebusemeyer Hasso Plattner Institute, University of Potsdam, Tobias Schimmer SAP Labs, Bert Arnrich Hasso Plattner Institute, University of Potsdam | ||
11:00 - 12:30 | AI for User ExperienceSE In Practice (SEIP) / Demonstrations / Journal-first Papers / Research Track at 210 Chair(s): Chunyang Chen TU Munich | ||
11:00 15mTalk | Automated Generation of Accessibility Test Reports from Recorded User TranscriptsAward Winner Research Track Syed Fatiul Huq University of California, Irvine, Mahan Tafreshipour University of California at Irvine, Kate Kalcevich Fable Tech Labs Inc., Sam Malek University of California at Irvine | ||
11:15 15mTalk | KuiTest: Leveraging Knowledge in the Wild as GUI Testing Oracle for Mobile Apps SE In Practice (SEIP) Yongxiang Hu Fudan University, Yu Zhang Meituan, Xuan Wang Fudan University, Yingjie Liu School of Computer Science, Fudan University, Shiyu Guo Meituan, Chaoyi Chen Meituan, Xin Wang Fudan University, Yangfan Zhou Fudan University | ||
11:30 15mTalk | GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts SE In Practice (SEIP) Wei Liu Concordia University, Montreal, Canada, Feng Lin Concordia University, Linqiang Guo Concordia University, Tse-Hsun (Peter) Chen Concordia University, Ahmed E. Hassan Queen’s University | ||
11:45 15mTalk | GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping Demonstrations Kristian Kolthoff Institute for Software and Systems Engineering, Clausthal University of Technology, Felix Kretzer human-centered systems Lab (h-lab), Karlsruhe Institute of Technology (KIT) , Christian Bartelt , Alexander Maedche Human-Centered Systems Lab, Karlsruhe Institute of Technology, Simone Paolo Ponzetto Data and Web Science Group, University of Mannheim Pre-print | ||
12:00 15mTalk | Agent for User: Testing Multi-User Interactive Features in TikTok SE In Practice (SEIP) Sidong Feng Monash University, Changhao Du Jilin University, huaxiao liu Jilin University, Qingnan Wang Jilin University, Zhengwei Lv ByteDance, Gang Huo ByteDance, Xu Yang ByteDance, Chunyang Chen TU Munich | ||
12:15 7mTalk | Bug Analysis in Jupyter Notebook Projects: An Empirical Study Journal-first Papers Taijara Santana Federal University of Bahia, Paulo Silveira Neto Federal University Rural of Pernambuco, Eduardo Santana de Almeida Federal University of Bahia, Iftekhar Ahmed University of California at Irvine | ||
11:00 - 12:30 | Testing and SecurityResearch Track / Journal-first Papers at 211 Chair(s): Shiyi Wei University of Texas at Dallas | ||
11:00 15mTalk | Fuzzing MLIR Compilers with Custom Mutation Synthesis Research Track Ben Limpanukorn UCLA, Jiyuan Wang University of California at Los Angeles, Hong Jin Kang University of Sydney, Eric Zitong Zhou UCLA, Miryung Kim UCLA and Amazon Web Services Pre-print | ||
11:15 15mTalk | InSVDF: Interface-State-Aware Virtual Device Fuzzing Research Track Zexiang Zhang National University of Defense Technology, Gaoning Pan Hangzhou Dianzi University, Ruipeng Wang National University of Defense Technology, Yiming Tao Zhejiang University, Zulie Pan National University of Defense Technology, Cheng Tu National University of Defense Technology, Min Zhang National University of Defense Technology, Yang Li National University of Defense Technology, Yi Shen National University of Defense Technology, Chunming Wu Zhejiang University | ||
11:30 15mTalk | Reduce Dependence for Sound Concurrency Bug Prediction Research Track Shihao Zhu State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences,China, Yuqi Guo Institute of Software, Chinese Academy of Sciences, Yan Cai Institute of Software at Chinese Academy of Sciences, Bin Liang Renmin University of China, Long Zhang Institute of Software, Chinese Academy of Sciences, Rui Chen Beijing Institute of Control Engineering; Beijing Sunwise Information Technology, Tingting Yu Beijing Institute of Control Engineering; Beijing Sunwise Information Technology | ||
11:45 15mTalk | SAND: Decoupling Sanitization from Fuzzing for Low Overhead Research Track Ziqiao Kong Nanyang Technological University, Shaohua Li The Chinese University of Hong Kong, Heqing Huang City University of Hong Kong, Zhendong Su ETH Zurich Link to publication Pre-print Media Attached File Attached | ||
12:00 15mTalk | TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability CodeSecurity Research Track Siyuan Li University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Yuekang Li UNSW, Zuxin Chen Institute of Information Engineering Chinese Academy of Sciences & University of Chinese Academy of Sciences, China, Chaopeng Dong Institute of Information Engineering Chinese Academy of Sciences & University of Chinese Academy of Sciences, China, Yongpan Wang University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Hong Li Institute of Information Engineering at Chinese Academy of Sciences, Yongle Chen Taiyuan University of Technology, China, Hongsong Zhu Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
12:15 15mTalk | Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?Security Journal-first Papers Emanuele Iannone Hamburg University of Technology, Giulia Sellitto University of Salerno, Emanuele Iaccarino University of Salerno, Filomena Ferrucci Università di Salerno, Andrea De Lucia University of Salerno, Fabio Palomba University of Salerno Link to publication DOI Authorizer link Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection Research Track TianChen Yu School of Software Engineering, South China University of Technology, Li Yuan School of Software Engineering, South China University of Technology, Guangzhou, China, Liannan Lin School of Software Engineering, South China University of Technology, Hongkui He School of Software Engineering, South China University of Technology | ||
11:15 15mTalk | Can an LLM find its way around a Spreadsheet? Research Track Cho-Ting Lee Virginia Tech, Andrew Neeser Virginia Tech, Shengzhe Xu Virginia Tech, Jay Katyan Virginia Tech, Patrick Cross Virginia Tech, Sharanya Pathakota Virginia Tech, Marigold Norman World Forest ID, John C. Simeone Simeone Consulting, LLC, Jaganmohan Chandrasekaran Virginia Tech, Naren Ramakrishnan Virginia Tech | ||
11:30 15mTalk | QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning Research Track Alex Sanchez-Stern University of Massachusetts at Amherst, Abhishek Varghese University of Massachusetts, Zhanna Kaufman University of Massachusetts, Shizhuo Zhang University of Illinois Urbana-Champaign, Talia Lily Ringer University of Illinois Urbana-Champaign, Yuriy Brun University of Massachusetts Link to publication Pre-print | ||
11:45 15mTalk | TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference Research Track Chong Wang Nanyang Technological University, Jian Zhang Nanyang Technological University, Yiling Lou Fudan University, Mingwei Liu Fudan University, Weisong Sun Nanyang Technological University, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
12:00 15mTalk | ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation Research Track Xue Jiang , Yihong Dong Peking University, Yongding Tao University of Electronic Science and Technology of China, Huanyu Liu Xidian University, Zhi Jin Peking University, Ge Li Peking University | ||
12:15 15mTalk | Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification Research Track Kyle Thompson University of California, San Diego, Nuno Saavedra INESC-ID and IST, University of Lisbon, Pedro Carrott Imperial College London, Kevin Fisher University of California San Diego, Alex Sanchez-Stern University of Massachusetts, Yuriy Brun University of Massachusetts, João F. Ferreira INESC-ID and IST, University of Lisbon, Sorin Lerner University of California at San Diego, Emily First University of California, San Diego Link to publication Pre-print File Attached | ||
11:00 - 12:30 | AutonomyResearch Track at 213 Chair(s): Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland | ||
11:00 15mTalk | A Differential Testing Framework to Identify Critical AV Failures Leveraging Arbitrary Inputs Research Track Trey Woodlief University of Virginia, Carl Hildebrandt University of Virginia, Sebastian Elbaum University of Virginia | ||
11:15 15mTalk | Automating a Complete Software Test Process Using LLMs: An Automotive Case Study Research Track Shuai Wang , Yinan Yu Chalmers University of Technology, Robert Feldt Chalmers | University of Gothenburg, Dhasarathy Parthasarathy Volvo Group Pre-print | ||
11:30 15mTalk | LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems Research Track Venkata Sai Aswath Duvvuru Saint Louis University, Bohan Zhang Saint Louis University, Missouri, Michael Vierhauser University of Innsbruck, Ankit Agrawal Saint Louis University, Missouri Pre-print Media Attached | ||
11:45 15mTalk | Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models Research Track Luciano Baresi Politecnico di Milano, Davide Yi Xian Hu Politecnico di Milano, Andrea Stocco Technical University of Munich, fortiss, Paolo Tonella USI Lugano Pre-print | ||
12:00 15mTalk | GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems Research Track Linfeng Liang Macquarie University, Yao Deng Macquarie University, Kye Morton Skyy Network, Valtteri Kallinen Skyy Network, Alice James Macquarie University, Avishkar Seth Macquarie University, Endrowednes Kuantama Macquarie University, Subhas Mukhopadhyay Macquarie University, Richard Han Macquarie University, Xi Zheng Macquarie University | ||
12:15 15mTalk | Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems Research Track Mingfei Cheng Singapore Management University, Xiaofei Xie Singapore Management University, Yuan Zhou Zhejiang Sci-Tech University, Junjie Wang Tianjin University, Guozhu Meng Institute of Information Engineering, Chinese Academy of Sciences, Kairui Yang DAMO Academy, Alibaba Group, China | ||
11:00 - 12:30 | SE for AI 1New Ideas and Emerging Results (NIER) / SE In Practice (SEIP) / Research Track at 215 Chair(s): Houari Sahraoui DIRO, Université de Montréal | ||
11:00 15mTalk | A Test Oracle for Reinforcement Learning Software based on Lyapunov Stability Control TheorySE for AI Research Track Shiyu Zhang The Hong Kong Polytechnic University, Haoyang Song The Hong Kong Polytechnic University, Qixin Wang The Hong Kong Polytechnic University, Henghua Shen The Hong Kong Polytechnic University, Yu Pei The Hong Kong Polytechnic University | ||
11:15 15mTalk | CodeImprove: Program Adaptation for Deep Code ModelsSE for AI Research Track | ||
11:30 15mTalk | FairQuant: Certifying and Quantifying Fairness of Deep Neural NetworksSE for AI Research Track Brian Hyeongseok Kim University of Southern California, Jingbo Wang University of Southern California, Chao Wang University of Southern California Pre-print | ||
11:45 15mTalk | When in Doubt Throw It out: Building on Confident Learning for Vulnerability DetectionSecurity New Ideas and Emerging Results (NIER) Yuanjun Gong Renmin University of China, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print File Attached | ||
12:00 15mTalk | Evaluation of Tools and Frameworks for Machine Learning Model ServingSE for AI SE In Practice (SEIP) Niklas Beck Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Benny Stein Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Dennis Wegener T-Systems International GmbH, Lennard Helmer Fraunhofer Institute for Intelligent Analysis and Information Systems | ||
12:15 15mTalk | Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation ModelsSE for AI SE In Practice (SEIP) Kirill Vasilevski Huawei Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Ahmed E. Hassan Queen’s University Pre-print File Attached | ||
11:00 - 12:30 | |||
11:00 15mTalk | Calibration and Correctness of Language Models for Code Research Track Claudio Spiess University of California, Davis, David Gros University of California, Davis, Kunal Suresh Pai UC Davis, Michael Pradel University of Stuttgart, Rafiqul Rabin UL Research Institutes, Amin Alipour University of Houston, Susmit Jha SRI, Prem Devanbu University of California at Davis, Toufique Ahmed IBM Research Pre-print | ||
11:15 15mTalk | An Empirical Study on Commit Message Generation using LLMs via In-Context Learning Research Track Yifan Wu Peking University, Yunpeng Wang Ant Group, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Wei Tao Independent Researcher, Siyu Yu The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Haowen Yang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Wei Jiang , Jianguo Li Ant Group Pre-print | ||
11:30 15mTalk | Instruct or Interact? Exploring and Eliciting LLMs’ Capability in Code Snippet Adaptation Through Prompt Engineering Research Track Tanghaoran Zhang National University of Defense Technology, Yue Yu PengCheng Lab, Xinjun Mao National University of Defense Technology, Shangwen Wang National University of Defense Technology, Kang Yang National University of Defense Technology, Yao Lu National University of Defense Technology, Zhang Zhang Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Yuxin Zhao Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology | ||
11:45 15mTalk | Search-Based LLMs for Code OptimizationAward Winner Research Track Shuzheng Gao The Chinese University of Hong Kong, Cuiyun Gao Harbin Institute of Technology, Wenchao Gu The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong | ||
12:00 15mTalk | Towards Better Answers: Automated Stack Overflow Post Updating Research Track Yubo Mai Zhejiang University, Zhipeng Gao Shanghai Institute for Advanced Study - Zhejiang University, Haoye Wang Hangzhou City University, Tingting Bi The University of Melbourne, Xing Hu Zhejiang University, Xin Xia Huawei, JianLing Sun Zhejiang University | ||
12:15 15mTalk | Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the FamiliarAward Winner Research Track Yuanliang Zhang National University of Defense Technology, Yifan Xie , Shanshan Li National University of Defense Technology, Ke Liu , Chong Wang National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Xiangbing Huang National University of Defense Technology, Jie Song National University of Defense Technology, Chaopeng Luo National University of Defense Technology, Zhizheng Zheng National University of Defense Technology, Rulin Xu National University of Defense Technology, Yitong Liu National University of Defense Technology, Si Zheng National University of Defense Technology, Liao Xiangke National University of Defense Technology | ||
13:30 - 14:00 | Wed Lunch Posters 13:30-14:00Research Track / Journal-first Papers / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
13:30 30mPoster | Pattern-based Generation and Adaptation of Quantum WorkflowsQuantum Research Track Martin Beisel Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Johanna Barzen University of Stuttgart, Frank Leymann University of Stuttgart, Lavinia Stiliadou Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Daniel Vietz University of Stuttgart, Benjamin Weder Institute of Architecture of Application Systems (IAAS), University of Stuttgart | ||
13:30 30mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
13:30 30mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
13:30 30mPoster | BSan: A Powerful Identifier-Based Hardware-Independent Memory Error Detector for COTS Binaries Research Track Wen Zhang University of Georgia, Botang Xiao University of Georgia, Qingchen Kong University of Georgia, Le Guan University of Georgia, Wenwen Wang University of Georgia | ||
13:30 30mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
13:30 30mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
13:30 30mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
13:30 30mPoster | SimClone: Detecting Tabular Data Clones using Value Similarity Journal-first Papers Xu Yang University of Manitoba, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Shaowei Wang University of Manitoba, Zhen Ming (Jack) Jiang York University | ||
13:30 30mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
16:00 - 17:30 | Formal Methods 2Research Track / New Ideas and Emerging Results (NIER) / Journal-first Papers at 103 Chair(s): Yi Li Nanyang Technological University | ||
16:00 15mTalk | ConsCS: Effective and Efficient Verification of Circom CircuitsFormal Methods Research Track Jinan Jiang The Hong Kong Polytechnic University, Xinghao Peng , Jinzhao Chu The Hong Kong Polytechnic University, Xiapu Luo Hong Kong Polytechnic University | ||
16:15 15mTalk | Constrained LTL Specification Learning from ExamplesFormal Methods Research Track Changjian Zhang Carnegie Mellon University, Parv Kapoor Carnegie Mellon University, Ian Dardik Carnegie Mellon University, Leyi Cui Columbia University, Romulo Meira-Goes The Pennsylvania State University, David Garlan Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University | ||
16:30 15mTalk | LLM-aided Automatic Modeling for Security Protocol VerificationSecurityFormal Methods Research Track Ziyu Mao Zhejiang University, Jingyi Wang Zhejiang University, Jun Sun Singapore Management University, Shengchao Qin Xidian University, Jiawen Xiong East China Normal University | ||
16:45 15mTalk | Model Assisted Refinement of Metamorphic Relations for Scientific SoftwareFormal Methods New Ideas and Emerging Results (NIER) Clay Stevens Iowa State University, Katherine Kjeer Iowa State University, Ryan Richard Iowa State University, Edward Valeev Virginia Tech, Myra Cohen Iowa State University | ||
17:00 15mTalk | Precisely Extracting Complex Variable Values from Android AppsFormal Methods Journal-first Papers | ||
17:15 7mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
17:22 7mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
16:00 - 17:30 | Databases and BusinessResearch Track / SE In Practice (SEIP) / Demonstrations / Journal-first Papers at 104 Chair(s): Lu Xiao Stevens Institute of Technology | ||
16:00 15mTalk | Optimization of Automated and Manual Software Tests in Industrial Practice: A Survey and Historical Analysis Journal-first Papers Roman Haas Saarland University; CQSE, Raphael Nömmer Saarbr�cken Graduate School of Computer Science, CQSE, Elmar Juergens CQSE GmbH, Sven Apel Saarland University Link to publication Pre-print | ||
16:15 15mTalk | A-COBREX : A Tool for Identifying Business Rules in COBOL Programs Demonstrations Samveg Shah Indian Institute of Technology, Tirupati, Shivali Agarwal IBM, Saravanan Krishnan IBM India Research Lab, Vini Kanvar IBM Research, Sridhar Chimalakonda Indian Institute of Technology Tirupati | ||
16:30 15mTalk | Thanos: DBMS Bug Detection via Storage Engine Rotation Based Differential TestingAward Winner Research Track Ying Fu National University of Defense Technology, Zhiyong Wu Tsinghua University, China, Yuanliang Zhang National University of Defense Technology, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Yu Jiang Tsinghua University, Shanshan Li National University of Defense Technology, Liao Xiangke National University of Defense Technology | ||
16:45 15mTalk | Coni: Detecting Database Connector Bugs via State-Aware Test Case Generation Research Track Wenqian Deng Tsinghua University, Zhiyong Wu Tsinghua University, China, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Mingzhe Wang Tsinghua University, Yu Jiang Tsinghua University | ||
17:00 15mTalk | Puppy: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction Research Track Zhiyong Wu Tsinghua University, China, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Mingzhe Wang Tsinghua University, Yu Jiang Tsinghua University | ||
17:15 15mTalk | Safe Validation of Pricing Agreements SE In Practice (SEIP) John C. Kolesar Yale University, Tancrède Lepoint Amazon, Martin Schäf Amazon Web Services, Willem Visser Amazon Web Services | ||
16:00 - 17:30 | Testing and QA 2Journal-first Papers at 205 Chair(s): Andreas Zeller CISPA Helmholtz Center for Information Security | ||
16:00 15mTalk | EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism Journal-first Papers Chengjie Lu Simula Research Laboratory and University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University | ||
16:15 15mTalk | GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming Journal-first Papers Jon Ayerdi Mondragon University, Valerio Terragni University of Auckland, Gunel Jahangirova King's College London, Aitor Arrieta Mondragon University, Paolo Tonella USI Lugano | ||
16:30 15mTalk | Guess the State: Exploiting Determinism to Improve GUI Exploration Efficiency Journal-first Papers Diego Clerissi University of Milano-Bicocca, Giovanni Denaro University of Milano - Bicocca, Marco Mobilio University of Milano Bicocca, Leonardo Mariani University of Milano-Bicocca | ||
16:45 15mTalk | Runtime Verification and Field-based Testing for ROS-based Robotic Systems Journal-first Papers Ricardo Caldas Gran Sasso Science Institute (GSSI), Juan Antonio Piñera García Gran Sasso Science Institute, Matei Schiopu Chalmers | Gothenburg University, Patrizio Pelliccione Gran Sasso Science Institute, L'Aquila, Italy, Genaína Nunes Rodrigues University of Brasília, Thorsten Berger Ruhr University Bochum Link to publication DOI | ||
17:00 15mTalk | Towards Effectively Testing Machine Translation Systems from White-Box Perspectives Journal-first Papers Hanying Shao University of Waterloo, Zishuo Ding The Hong Kong University of Science and Technology (Guangzhou), Weiyi Shang University of Waterloo, Jinqiu Yang Concordia University, Nikolaos Tsantalis Concordia University | ||
17:15 15mTalk | Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study Journal-first Papers Md Ahasanuzzaman Queen's University, Gustavo A. Oliva Queen's University, Ahmed E. Hassan Queen’s University, Md Ahasanuzzaman Queen's University | ||
16:00 - 17:45 | Human and Social 1SE in Society (SEIS) / SE In Practice (SEIP) at 206 plus 208 Chair(s): Yvonne Dittrich IT University of Copenhagen, Denmark | ||
16:00 15mTalk | Systematizing Inclusive Design in MOSIP: An Experience Report SE In Practice (SEIP) Soumiki Chattopadhyay Oregon State University, Amreeta Chatterjee Oregon State University, Puja Agarwal Oregon State University, Bianca Trinkenreich Colorado State University, Swarathmika Kumar MOSIP-IIIT Bangalore, Rohit Ranjan Rai MOSIP-IIIT Bangalore, Resham Chugani MOSIP-IIIT Bangalore, Pragya Kumari MOSIP-IIIT Bangalore, Margaret Burnett Oregon State University, Anita Sarma Oregon State University Pre-print | ||
16:15 15mTalk | A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 SE in Society (SEIS) Muhammad Mainul Hossain University of Saskatchewan, Banani Roy University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan | ||
16:30 15mTalk | A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights SE in Society (SEIS) Ahmad Azarnik Universiti Teknologi Malaysia, Davoud Mougouei , Mahdi Fahmideh University of Southern Queensland, Elahe Mougouei Islamic Azad University Najafabad, Hoa Khanh Dam University of Wollongong, Arif Ali Khan University of Oulu, Saima Rafi Edinburgh Napier University, Javed Ali Khan University of Hertforshire Hertfordshire, UK, Aakash Ahmad School of Computing and Communications, Lancaster University Leipzig, Leipzig, Germany Link to publication | ||
16:45 15mTalk | From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? SE in Society (SEIS) Gianmario Voria University of Salerno, Stefano Lambiase University of Salerno, Maria Concetta Schiavone University of Salerno, Gemma Catolino University of Salerno, Fabio Palomba University of Salerno Pre-print | ||
17:00 15mTalk | Not real or too soft? On the challenges of publishing interdisciplinary software engineering research SE in Society (SEIS) Sonja Hyrynsalmi LUT University, Grischa Liebel Reykjavik University, Ronnie de Souza Santos University of Calgary, Sebastian Baltes University of Bayreuth Pre-print | ||
17:15 15mTalk | What is unethical about software? User perceptions in the Netherlands SE in Society (SEIS) Yagil Elias Vrije Universiteit Amsterdam, Tom P Humbert Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam Pre-print | ||
16:00 - 17:30 | Human and Social Process 2Journal-first Papers / Research Track at 207 Chair(s): Armstrong Foundjem École Polytechnique de Montréal | ||
16:00 15mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
16:15 15mTalk | Who’s Pushing the Code: An Exploration of GitHub Impersonation Research Track Yueke Zhang Vanderbilt University, Anda Liang Vanderbilt University, Xiaohan Wang Vanderbilt University, Pamela J. Wisniewski Vanderbilt University, Fengwei Zhang Southern University of Science and Technology, Kevin Leach Vanderbilt University, Yu Huang Vanderbilt University | ||
16:30 15mTalk | Understanding Real-time Collaborative Programming: a Study of Visual Studio Live Share Journal-first Papers Xin Tan Beihang University, Xinyue Lv Beihang University, Jing Jiang Beihang University, Li Zhang Beihang University | ||
16:45 15mTalk | Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations Journal-first Papers Farshad Kazemi University of Waterloo, Maxime Lamothe Polytechnique Montreal, Shane McIntosh University of Waterloo | ||
17:00 15mTalk | Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions Journal-first Papers | ||
17:15 7mTalk | Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS Research Track Bianca Trinkenreich Colorado State University, Zixuan Feng Oregon State University, USA, Rudrajit Choudhuri Oregon State University, Marco Gerosa Northern Arizona University, Anita Sarma Oregon State University, Igor Steinmacher NAU RESHAPE LAB Pre-print | ||
16:00 - 17:30 | |||
16:00 15mTalk | Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak AttacksSecuritySE for AI Research Track shide zhou Huazhong University of Science and Technology, Li Tianlin NTU, Kailong Wang Huazhong University of Science and Technology, Yihao Huang NTU, Ling Shi Nanyang Technological University, Yang Liu Nanyang Technological University, Haoyu Wang Huazhong University of Science and Technology | ||
16:15 15mTalk | Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning SoftwareSecuritySE for AI Research Track Zhenpeng Chen Nanyang Technological University, Xinyue Li Peking University, Jie M. Zhang King's College London, Federica Sarro University College London, Yang Liu Nanyang Technological University Pre-print | ||
16:30 15mTalk | HIFI: Explaining and Mitigating Algorithmic Bias through the Lens of Game-Theoretic InteractionsSecuritySE for AI Research Track Lingfeng Zhang East China Normal University, Zhaohui Wang Software Engineering Institute, East China Normal University, Yueling Zhang East China Normal University, Min Zhang East China Normal University, Jiangtao Wang Software Engineering Institute, East China Normal University | ||
16:45 15mTalk | Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution DetectionSecuritySE for AI Research Track Yanfu Yan William & Mary, Viet Duong William & Mary, Huajie Shao College of William & Mary, Denys Poshyvanyk William & Mary | ||
17:00 15mTalk | FairSense: Long-Term Fairness Analysis of ML-Enabled SystemsSecuritySE for AI Research Track Yining She Carnegie Mellon University, Sumon Biswas Carnegie Mellon University, Christian Kästner Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University | ||
16:00 - 17:30 | AI for Analysis 2Research Track / Journal-first Papers at 212 Chair(s): Julia Rubin The University of British Columbia | ||
16:00 15mTalk | Neurosymbolic Modular Refinement Type Inference Research Track Georgios Sakkas UC San Diego, Pratyush Sahu UC San Diego, Kyeling Ong University of California, San Diego, Ranjit Jhala University of California at San Diego | ||
16:15 15mTalk | An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We? Research Track Hyunjae Suh University of California, Irvine, Mahan Tafreshipour University of California at Irvine, Jiawei Li University of California Irvine, Adithya Bhattiprolu University of California, Irvine, Iftekhar Ahmed University of California at Irvine | ||
16:30 15mTalk | Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets Research Track Smit Soneshbhai Patel University of Texas at Dallas, Aashish Yadavally University of Texas at Dallas, Hridya Dhulipala University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas | ||
16:45 15mTalk | LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-based Code Completion Research Track Chong Wang Nanyang Technological University, Kaifeng Huang Tongji University, Jian Zhang Nanyang Technological University, Yebo Feng Nanyang Technological University, Lyuye Zhang Nanyang Technological University, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
17:00 15mTalk | Knowledge-Enhanced Program Repair for Data Science Code Research Track Shuyin Ouyang King's College London, Jie M. Zhang King's College London, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Albert Merono Penuela King's College London | ||
17:15 7mTalk | SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning Journal-first Papers Xueqi Yang North Carolina State University, Mariusz Jakubowski Microsoft, Li Kang Microsoft, Haojie Yu Microsoft, Tim Menzies North Carolina State University Link to publication DOI | ||
16:00 - 17:30 | AI for Program Comprehension 1Research Track at 213 Chair(s): Yintong Huo Singapore Management University, Singapore | ||
16:00 15mTalk | ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems Research Track Wenwei Gu The Chinese University of Hong Kong, Jiazhen Gu Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Jianping Zhang The Chinese University of Hong Kong, Jinxi Kuang The Chinese University of Hong Kong, Cong Feng Huawei Cloud Computing Technology, Yongqiang Yang Huawei Cloud Computing Technology, Michael Lyu The Chinese University of Hong Kong | ||
16:15 15mTalk | LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models Research Track Zeyang Ma Concordia University, Dong Jae Kim DePaul University, Tse-Hsun (Peter) Chen Concordia University | ||
16:30 15mTalk | Model Editing for LLMs4Code: How Far are We? Research Track Xiaopeng Li National University of Defense Technology, Shangwen Wang National University of Defense Technology, Shasha Li National University of Defense Technology, Jun Ma National University of Defense Technology, Jie Yu National University of Defense Technology, Xiaodong Liu National University of Defense Technology, Jing Wang National University of Defense Technology, Bin Ji National University of Defense Technology, Weimin Zhang National University of Defense Technology Pre-print | ||
16:45 15mTalk | Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets Research Track Christof Tinnes Saarland University, Alisa Carla Welter Saarland University, Sven Apel Saarland University Pre-print | ||
17:00 15mTalk | SpecRover: Code Intent Extraction via LLMs Research Track Haifeng Ruan National University of Singapore, Yuntong Zhang National University of Singapore, Abhik Roychoudhury National University of Singapore | ||
17:15 15mTalk | Unleashing the True Potential of Semantic-based Log Parsing with Pre-trained Language Models Research Track | ||
16:00 - 17:30 | Analysis 1Research Track / SE In Practice (SEIP) / Journal-first Papers at 215 Chair(s): Antonio Filieri AWS and Imperial College London | ||
16:00 15mTalk | SUPERSONIC: Learning to Generate Source Code Optimizations in C/C++ Journal-first Papers Zimin Chen KTH Royal Institute of Technology, Sen Fang North Carolina State University, Martin Monperrus KTH Royal Institute of Technology | ||
16:15 15mTalk | An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools Research Track Miao Miao The University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Dakota Soles The University of Texas at Dallas, Alice Beideck The University of Texas at Dallas, Shiyi Wei University of Texas at Dallas | ||
16:30 15mTalk | Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs Research Track Chenxi Zhang Nanjing University, Yufei Liang Nanjing University, Tian Tan Nanjing University, Chang Xu Nanjing University, Shuangxiang Kan UNSW, Yulei Sui University of New South Wales, Yue Li Nanjing University | ||
16:45 15mTalk | Execution Trace Reconstruction Using Diffusion-Based Generative Models Research Track Madeline Janecek Brock University, Naser Ezzati Jivan , Wahab Hamou-Lhadj Concordia University, Montreal, Canada | ||
17:00 15mTalk | Static Analysis of Remote Procedure Call in Java Programs Research Track Baoquan Cui Institute of Software at Chinese Academy of Sciences, China, RongQu State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China, Zhen Tang Key Laboratory of System Software (Chinese Academy of Sciences), State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
17:15 15mTalk | ArkAnalyzer: The Static Analysis Framework for OpenHarmony SE In Practice (SEIP) chenhaonan Beihang University, Daihang Chen Beihang University, Yizhuo Yang Beihang University, Lingyun Xu Huawei, Liang Gao Huawei, Mingyi Zhou Monash University, Chunming Hu Beihang University, Li Li Beihang University | ||
16:00 - 17:30 | AI for SE 2Research Track / Journal-first Papers at Canada Hall 1 and 2 Chair(s): Tingting Yu University of Connecticut | ||
16:00 15mTalk | Large Language Models for Safe Minimization Research Track Aashish Yadavally University of Texas at Dallas, Xiaokai Rong The University of Texas at Dallas, Phat Nguyen The University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas | ||
16:15 15mTalk | LUNA: A Model-Based Universal Analysis Framework for Large Language Models Journal-first Papers Da Song University of Alberta, Xuan Xie University of Alberta, Norman Song , Derui Zhu Technical University of Munich, Yuheng Huang University of Alberta, Canada, Felix Juefei-Xu New York University, Lei Ma The University of Tokyo & University of Alberta, Yuheng Huang University of Alberta, Canada | ||
16:30 15mTalk | Intention is All You Need: Refining Your Code from Your Intention Research Track Qi Guo Tianjin University, Xiaofei Xie Singapore Management University, Shangqing Liu Nanyang Technological University, Ming Hu Nanyang Technological University, Xiaohong Li Tianjin University, Lei Bu Nanjing University | ||
16:45 15mTalk | RLCoder: Reinforcement Learning for Repository-Level Code Completion Research Track Yanlin Wang Sun Yat-sen University, Yanli Wang Sun Yat-sen University, Daya Guo , Jiachi Chen Sun Yat-sen University, Ruikai Zhang Huawei Cloud Computing Technologies, Yuchi Ma Huawei Cloud Computing Technologies, Zibin Zheng Sun Yat-sen University | ||
17:00 15mTalk | InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation Research Track Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Pengyu Nie University of Waterloo, Filipe Cogo Centre for Software Excellence, Huawei Canada, Bram Adams Queen's University | ||
17:15 15mTalk | Toward a Theory of Causation for Interpreting Neural Code Models Journal-first Papers David Nader Palacio William & Mary, Alejandro Velasco William & Mary, Nathan Cooper William & Mary, Alvaro Rodriguez Universidad Nacional de Colombia, Kevin Moran University of Central Florida, Denys Poshyvanyk William & Mary Link to publication DOI Pre-print | ||
Thu 1 MayDisplayed time zone: Eastern Time (US & Canada) change
Thu 1 May
Displayed time zone: Eastern Time (US & Canada) change
10:30 - 11:00 | Thu Morning Break Posters 10:30-11Research Track / New Ideas and Emerging Results (NIER) / Demonstrations / Journal-first Papers at Canada Hall 3 Poster Area | ||
10:30 30mPoster | Pattern-based Generation and Adaptation of Quantum WorkflowsQuantum Research Track Martin Beisel Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Johanna Barzen University of Stuttgart, Frank Leymann University of Stuttgart, Lavinia Stiliadou Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Daniel Vietz University of Stuttgart, Benjamin Weder Institute of Architecture of Application Systems (IAAS), University of Stuttgart | ||
10:30 30mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
10:30 30mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
10:30 30mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
10:30 30mPoster | HyperCRX 2.0: A Comprehensive and Automated Tool for Empowering GitHub Insights Demonstrations Yantong Wang East China Normal University, Shengyu Zhao Tongji University, will wang , Fenglin Bi East China Normal University | ||
10:30 30mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
10:30 30mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
10:30 30mPoster | Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Research Track Kunpeng Zhang The Hong Kong University of Science and Technology, Shuai Wang Hong Kong University of Science and Technology, Jitao Han Central University of Finance and Economics, Xiaogang Zhu The University of Adelaide, Xian Li Swinburne University of Technology, Shaohua Wang Central University of Finance and Economics, Sheng Wen Swinburne University of Technology | ||
11:00 - 12:30 | Design for AINew Ideas and Emerging Results (NIER) / SE In Practice (SEIP) / Research Track at 203 Chair(s): Chunyang Chen TU Munich | ||
11:00 15mTalk | A Large-Scale Study of Model Integration in ML-Enabled Software SystemsSE for AI Research Track Yorick Sens Ruhr University Bochum, Henriette Knopp Ruhr University Bochum, Sven Peldszus Ruhr University Bochum, Thorsten Berger Ruhr University Bochum Pre-print | ||
11:15 15mTalk | Are LLMs Correctly Integrated into Software Systems?SE for AI Research Track Yuchen Shao East China Normal University, Yuheng Huang the University of Tokyo, Jiawei Shen East China Normal University, Lei Ma The University of Tokyo & University of Alberta, Ting Su East China Normal University, Chengcheng Wan East China Normal University | ||
11:30 15mTalk | Patch Synthesis for Property Repair of Deep Neural NetworksSE for AI Research Track Zhiming Chi Institute of Software, Chinese Academy of Sciences, Jianan Ma Hangzhou Dianzi University, China; Zhejiang University, Hangzhou, China, Pengfei Yang Institute of Software at Chinese Academy of Sciences, China, Cheng-Chao Huang Nanjing Institute of Software Technology, ISCAS, Renjue Li Institute of Software at Chinese Academy of Sciences, China, Jingyi Wang Zhejiang University, Xiaowei Huang University of Liverpool, Lijun Zhang Institute of Software, Chinese Academy of Sciences | ||
11:45 15mTalk | Optimizing Experiment Configurations for LLM Applications Through Exploratory AnalysisSE for AI New Ideas and Emerging Results (NIER) Nimrod Busany Accenture Labs, Israel, Hananel Hadad Accenture Labs, Israel, Zofia Maszlanka Avanade, Poland, Rohit Shelke University of Ottawa, Canada, Gregory Price University of Ottawa, Canada, Okhaide Akhigbe University of Ottawa, Daniel Amyot University of Ottawa | ||
12:00 15mTalk | AI-Assisted SQL Authoring at Industry ScaleSE for AI SE In Practice (SEIP) Chandra Sekhar Maddila Meta Platforms, Inc., Negar Ghorbani Meta Platforms Inc., Kosay Jabre Meta Platforms, Inc., Vijayaraghavan Murali Meta Platforms Inc., Edwin Kim Meta Platforms, Inc., Parth Thakkar Meta Platforms, Inc., Nikolay Pavlovich Laptev Meta Platforms, Inc., Olivia Harman Meta Platforms, Inc., Diana Hsu Meta Platforms, Inc., Rui Abreu Meta, Peter C Rigby Meta / Concordia University | ||
12:15 15mTalk | Automating ML Model Development at ScaleSE for AI SE In Practice (SEIP) Kaiyuan Wang Google, Yang Li Google Inc, Junyang Shen Google Inc, Kaikai Sheng Google Inc, Yiwei You Google Inc, Jiaqi Zhang Google Inc, Srikar Ayyalasomayajula Google Inc, Julian Grady Google Inc, Martin Wicke Google Inc | ||
11:00 - 12:30 | Analysis 2SE In Practice (SEIP) / Journal-first Papers / Demonstrations at 205 Chair(s): Mahmoud Alfadel University of Calgary | ||
11:00 15mTalk | SIT: An accurate, compliant SBOM generator with incremental construction Demonstrations | ||
11:15 15mTalk | Towards Better Static Analysis Bug Reports in the Clang Static Analyzer SE In Practice (SEIP) Kristóf Umann Eötvös Loránd University, Faculty of Informatics, Dept. of Programming Languages and Compilers, Zoltán Porkoláb Ericsson | ||
11:30 15mTalk | Automatic Identification of Game Stuttering via Gameplay Videos Analysis Journal-first Papers Emanuela Guglielmi University of Molise, Gabriele Bavota Software Institute @ Università della Svizzera Italiana, Rocco Oliveto University of Molise, Simone Scalabrino University of Molise | ||
11:45 15mTalk | LLM Driven Smart Assistant for Data Mapping SE In Practice (SEIP) Arihant Bedagkar Tata Consultancy Services, Sayandeep Mitra Tata Consultancy Services, Raveendra Kumar Medicherla TCS Research, Tata Consultancy Services, Ravindra Naik TCS Research, TRDDC, India, Samiran Pal Tata Consultancy Services | ||
12:00 15mTalk | On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure Categories SE In Practice (SEIP) Henri Aïdasso École de technologie supérieure (ÉTS), Francis Bordeleau École de Technologie Supérieure (ETS), Ali Tizghadam TELUS Pre-print | ||
12:15 7mTalk | AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes Journal-first Papers Aniruddhan Murali University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo, Meng Xu University of Waterloo, Chengnian Sun University of Waterloo | ||
11:00 - 12:30 | Human and Social 2Research Track / Journal-first Papers at 206 plus 208 Chair(s): Alexander Serebrenik Eindhoven University of Technology | ||
11:00 15mTalk | Code Today, Deadline Tomorrow: Procrastination Among Software Developers Research Track Zeinabsadat Saghi University of Southern California, Thomas Zimmermann University of California, Irvine, Souti Chattopadhyay University of Southern California | ||
11:15 15mTalk | "Get Me In The Groove": A Mixed Methods Study on Supporting ADHD Professional Programmers Research Track Kaia Newman Carnegie Mellon University, Sarah Snay University of Michigan, Madeline Endres University of Massachusetts Amherst, Manasvi Parikh University of Michigan, Andrew Begel Carnegie Mellon University Pre-print | ||
11:30 15mTalk | Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations Research Track Ruchit Rawal Max Planck Institute for Software Systems, Victor-Alexandru Padurean Max Planck Institute for Software Systems, Sven Apel Saarland University, Adish Singla Max Planck Institute for Software Systems, Mariya Toneva Max Planck Institute for Software Systems Pre-print | ||
11:45 15mTalk | How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities Research Track Ruanqianqian (Lisa) Huang University of California, San Diego, Savitha Ravi UC San Diego, Michael He UCSD, Boyu Tian University of California, San Diego, Sorin Lerner University of California at San Diego, Michael Coblenz University of California, San Diego Pre-print | ||
12:00 15mTalk | Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations Journal-first Papers Miguel Setúbal Federal University of Ceará, Tayana Conte Universidade Federal do Amazonas, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Allysson Allex Araújo Federal University of Cariri Link to publication Pre-print | ||
12:15 15mTalk | Reputation Gaming in Crowd Technical Knowledge Sharing Journal-first Papers Iren Mazloomzadeh École Polytechnique de Montréal, Gias Uddin York University, Canada, Foutse Khomh Polytechnique Montréal, Ashkan Sami Edinburgh Napier University | ||
11:00 - 12:30 | Security and Analysis 1Research Track / SE In Practice (SEIP) at 210 Chair(s): Akond Rahman Auburn University | ||
11:00 15mTalk | Accounting for Missing Events in Statistical Information Leakage AnalysisSecurity Research Track Seongmin Lee Max Planck Institute for Security and Privacy (MPI-SP), Shreyas Minocha Georgia Tech, Marcel Böhme MPI for Security and Privacy | ||
11:15 15mTalk | AssetHarvester: A Static Analysis Tool for Detecting Secret-Asset Pairs in Software ArtifactsSecurity Research Track Setu Kumar Basak North Carolina State University, K. Virgil English North Carolina State University, Ken Ogura North Carolina State University, Vitesh Kambara North Carolina State University, Bradley Reaves North Carolina State University, Laurie Williams North Carolina State University | ||
11:30 15mTalk | Enhancing The Open Network: Definition and Automated Detection of Smart Contract DefectsBlockchainSecurityAward Winner Research Track Hao Song , Teng Li University of Electronic Science and Technology of China, Jiachi Chen Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Beibei Li Sichuan University, Zhangyan Lin University of Electronic Science and Technology of China, Yi Lu BitsLab, Pan Li MoveBit, Xihan Zhou TonBit | ||
11:45 15mTalk | Detecting Python Malware in the Software Supply Chain with Program Analysis SE In Practice (SEIP) Ridwan Salihin Shariffdeen National University of Singapore, Behnaz Hassanshahi Oracle Labs, Australia, Martin Mirchev National University of Singapore, Ali El Husseini National University of Singapore, Abhik Roychoudhury National University of Singapore | ||
12:00 15mTalk | $ZTD_{JAVA}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust DependenciesSecurity Research Track Paschal Amusuo Purdue University, Kyle A. Robinson Purdue University, Tanmay Singla Purdue University, Huiyun Peng Mount Holyoke College, Aravind Machiry Purdue University, Santiago Torres-Arias Purdue University, Laurent Simon Google, James C. Davis Purdue University Pre-print | ||
12:15 15mTalk | FairChecker: Detecting Fund-stealing Bugs in DeFi Protocols via Fairness ValidationBlockchainSecurity Research Track | ||
11:00 - 12:30 | AI for Design and ArchitectureDemonstrations / SE In Practice (SEIP) / Research Track at 211 Chair(s): Sarah Nadi New York University Abu Dhabi | ||
11:00 15mTalk | An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization Research Track Fraol Batole Tulane University, David OBrien Iowa State University, Tien N. Nguyen University of Texas at Dallas, Robert Dyer University of Nebraska-Lincoln, Hridesh Rajan Tulane University | ||
11:15 15mTalk | Distilled Lifelong Self-Adaptation for Configurable Systems Research Track Yulong Ye University of Birmingham, Tao Chen University of Birmingham, Miqing Li University of Birmingham Pre-print | ||
11:30 15mTalk | The Software Librarian: Python Package Insights for Copilot Demonstrations Jasmine Latendresse Concordia University, Nawres Day ISSAT Sousse, SayedHassan Khatoonabadi Concordia University, Montreal, Emad Shihab Concordia University, Montreal | ||
11:45 15mTalk | aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing SE In Practice (SEIP) Siyuan Jiang , Jia Li Peking University, He Zong aiXcoder, Huanyu Liu Peking University, Hao Zhu Peking University, Shukai Hu aiXcoder, Erlu Li aiXcoder, Jiazheng Ding aiXcoder, Ge Li Peking University Pre-print | ||
12:00 15mTalk | Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering SE In Practice (SEIP) Claudio Martens Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Hammam Abdelwahab Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Katharina Beckh Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Birgit Kirsch Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Vishwani Gupta Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Dennis Wegener Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Steffen Hoh Schneider Electric | ||
12:15 15mTalk | On Mitigating Code LLM Hallucinations with API Documentation SE In Practice (SEIP) Nihal Jain Amazon Web Services, Robert Kwiatkowski , Baishakhi Ray Columbia University, Murali Krishna Ramanathan AWS AI Labs, Varun Kumar AWS AI Labs | ||
11:00 - 12:30 | AI for Analysis 3SE In Practice (SEIP) / Research Track at 212 Chair(s): Gias Uddin York University, Canada | ||
11:00 15mTalk | COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge Research Track Yichen LI The Chinese University of Hong Kong, Yulun Wu The Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhihan Jiang The Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Guangba Yu The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong | ||
11:15 15mTalk | Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding Research Track | ||
11:30 15mTalk | HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation Research Track Dewu Zheng Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Ensheng Shi Xi’an Jiaotong University, Ruikai Zhang Huawei Cloud Computing Technologies, Yuchi Ma Huawei Cloud Computing Technologies, Hongyu Zhang Chongqing University, Zibin Zheng Sun Yat-sen University | ||
11:45 15mTalk | SEMANTIC CODE FINDER: An Efficient Semantic Search Framework for Large-Scale Codebases SE In Practice (SEIP) daeha ryu Innovation Center, Samsung Electronics, Seokjun Ko Samsung Electronics Co., Eunbi Jang Innovation Center, Samsung Electronics, jinyoung park Innovation Center, Samsung Electronics, myunggwan kim Innovation Center, Samsung Electronics, changseo park Innovation Center, Samsung Electronics | ||
12:00 15mTalk | Time to Retrain? Detecting Concept Drifts in Machine Learning Systems SE In Practice (SEIP) Tri Minh-Triet Pham Concordia University, Karthikeyan Premkumar Ericsson, Mohamed Naili Ericsson, Jinqiu Yang Concordia University | ||
12:15 15mTalk | UML Sequence Diagram Generation: A Multi-Model, Multi-Domain Evaluation SE In Practice (SEIP) | ||
11:00 - 12:30 | AI for RequirementsResearch Track / SE In Practice (SEIP) / Journal-first Papers / New Ideas and Emerging Results (NIER) at 213 Chair(s): Jennifer Horkoff Chalmers and the University of Gothenburg | ||
11:00 15mTalk | From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC Research Track | ||
11:15 15mTalk | LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation Research Track Dominik Fuchß Karlsruhe Institute of Technology (KIT), Tobias Hey Karlsruhe Institute of Technology (KIT), Jan Keim Karlsruhe Institute of Technology (KIT), Haoyu Liu Karlsruhe Institute of Technology (KIT), Niklas Ewald Karlsruhe Institute of Technology (KIT), Tobias Thirolf Karlsruhe Institute of Technology (KIT), Anne Koziolek Karlsruhe Institute of Technology Pre-print Media Attached | ||
11:30 15mTalk | Replication in Requirements Engineering: the NLP for RE Case Journal-first Papers Sallam Abualhaija University of Luxembourg, Fatma Başak Aydemir Utrecht University, Fabiano Dalpiaz Utrecht University, Davide Dell'Anna Utrecht University, Alessio Ferrari CNR-ISTI, Xavier Franch Universitat Politècnica de Catalunya, Davide Fucci Blekinge Institute of Technology | ||
11:45 15mTalk | On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability New Ideas and Emerging Results (NIER) Andreas Vogelsang paluno, University of Duisburg-Essen, Alexander Korn University of Duisburg-Essen, Giovanna Broccia ISTI-CNR, FMT Lab, Alessio Ferrari Consiglio Nazionale delle Ricerche (CNR) and University College Dublin (UCD), Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Chetan Arora Monash University | ||
12:00 15mTalk | NICE: Non-Functional Requirements Identification, Classification, and Explanation Using Small Language Models SE In Practice (SEIP) Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs Research Track Myeongsoo Kim Georgia Institute of Technology, Tyler Stennett Georgia Institute of Technology, Saurabh Sinha IBM Research, Alessandro Orso Georgia Institute of Technology | ||
11:15 15mTalk | ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs Research Track Hongyan Gao State Key Laboratory for Novel Software Technology, Nanjing University, Yibiao Yang Nanjing University, Maolin Sun Nanjing University, Jiangchang Wu State Key Laboratory for Novel Software Technology, Nanjing University, Yuming Zhou Nanjing University, Baowen Xu State Key Laboratory for Novel Software Technology, Nanjing University | ||
11:30 15mTalk | LLM Based Input Space Partitioning Testing for Library APIs Research Track Jiageng Li Fudan University, Zhen Dong Fudan University, Chong Wang Nanyang Technological University, Haozhen You Fudan University, Cen Zhang Georgia Institute of Technology, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
11:45 15mTalk | Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests Research Track Amirhossein Deljouyi Delft University of Technology, Roham Koohestani Delft University of Technology, Maliheh Izadi Delft University of Technology, Andy Zaidman TU Delft DOI Pre-print | ||
12:00 15mTalk | exLong: Generating Exceptional Behavior Tests with Large Language Models Research Track Jiyang Zhang University of Texas at Austin, Yu Liu Meta, Pengyu Nie University of Waterloo, Junyi Jessy Li University of Texas at Austin, USA, Milos Gligoric The University of Texas at Austin | ||
12:15 15mTalk | TOGLL: Correct and Strong Test Oracle Generation with LLMs Research Track | ||
13:00 - 13:30 | Thu Lunch Posters 13:00-13:30Research Track / SE in Society (SEIS) / Journal-first Papers / SE In Practice (SEIP) at Canada Hall 3 Poster Area | ||
13:00 30mTalk | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks Research Track Yisong Xiao Beihang University, Aishan Liu Beihang University; Institute of Dataspace, Xinwei Zhang Beihang University, Tianyuan Zhang Beihang University, Li Tianlin NTU, Siyuan Liang National University of Singapore, Xianglong Liu Beihang University; Institute of Dataspace; Zhongguancun Laboratory, Yang Liu Nanyang Technological University, Dacheng Tao Nanyang Technological University | ||
13:00 30mTalk | Ethical Issues in Video Games: Insights from Reddit Discussions SE in Society (SEIS) | ||
13:00 30mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
13:00 30mTalk | QuanTest: Entanglement-Guided Testing of Quantum Neural Network SystemsQuantum Journal-first Papers Jinjing Shi Central South University, Zimeng Xiao Central South University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Xuelong LI China Telecom Link to publication | ||
13:00 30mPoster | FlatD: Protecting Deep Neural Network Program from Reversing Attacks SE In Practice (SEIP) Jinquan Zhang The Pennsylvania State University, Zihao Wang Penn State University, Pei Wang Independent Researcher, Rui Zhong Palo Alto Networks, Dinghao Wu Pennsylvania State University | ||
13:00 30mTalk | Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-PracticeSE for AI Journal-first Papers Bentley Oakes Polytechnique Montréal, Michalis Famelis Université de Montréal, Houari Sahraoui DIRO, Université de Montréal DOI Pre-print File Attached | ||
13:00 30mTalk | On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.Security Journal-first Papers Aurora Papotti Vrije Universiteit Amsterdam, Ranindya Paramitha University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam | ||
13:00 30mTalk | Automating Explanation Need Management in App Reviews: A Case Study from the Navigation App Industry SE In Practice (SEIP) Martin Obaidi Leibniz Universität Hannover, Nicolas Voß Graphmasters GmbH, Hannah Deters Leibniz University Hannover, Jakob Droste Leibniz Universität Hannover, Marc Herrmann Leibniz University Hannover, Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Kurt Schneider Leibniz Universität Hannover, Software Engineering Group | ||
13:30 - 14:00 | Thu Lunch Posters 13:30-14:00Journal-first Papers / New Ideas and Emerging Results (NIER) / Research Track at Canada Hall 3 Poster Area | ||
13:30 30mPoster | Non-Autoregressive Line-Level Code Completion Journal-first Papers | ||
13:30 30mTalk | LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation Journal-first Papers Sarah Fakhoury Microsoft Research, Aaditya Naik University of Pennsylvania, Georgios Sakkas University of California at San Diego, Saikat Chakraborty Microsoft Research, Shuvendu K. Lahiri Microsoft Research Link to publication | ||
13:30 30mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
13:30 30mPoster | Predicting the First Response Latency of Maintainers and Contributors in Pull Requests Journal-first Papers SayedHassan Khatoonabadi Concordia University, Montreal, Ahmad Abdellatif University of Calgary, Diego Elias Costa Concordia University, Canada, Emad Shihab Concordia University, Montreal | ||
13:30 30mPoster | RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code Research Track Pantazis Deligiannis Microsoft Research, Akash Lal Microsoft Research, Nikita Mehrotra Microsoft Research, Rishi Poddar Microsoft Research, Aseem Rastogi Microsoft Research | ||
13:30 30mTalk | Relevant information in TDD experiment reporting Journal-first Papers Fernando Uyaguari Instituto Superior Tecnológico Wissen, Silvia Teresita Acuña Castillo Universidad Autónoma de Madrid, John W. Castro Universidad de Atacama, Davide Fucci Blekinge Institute of Technology, Oscar Dieste Universidad Politécnica de Madrid, Sira Vegas Universidad Politecnica de Madrid | ||
14:00 - 15:30 | Testing and QA 3Research Track / Journal-first Papers at 205 Chair(s): Michael Pradel University of Stuttgart | ||
14:00 15mTalk | Increasing the Effectiveness of Automatically Generated Tests by Improving Class ObservabilityAward Winner Research Track Geraldine Galindo-Gutierrez Centro de Investigación en Ciencias Exactas e Ingenierías, Universidad Católica Boliviana, Juan Pablo Sandoval Alcocer Pontificia Universidad Católica de Chile, Nicolas Jimenez-Fuentes Pontificia Universidad Católica de Chile, Alexandre Bergel University of Chile, Gordon Fraser University of Passau | ||
14:15 15mTalk | Invivo Fuzzing by Amplifying Actual Executions Research Track | ||
14:30 15mTalk | Towards High-strength Combinatorial Interaction Testing for Highly Configurable Software Systems Research Track Chuan Luo Beihang University, Shuangyu Lyu Beihang University, Wei Wu Central South University; Xiangjiang Laboratory, Hongyu Zhang Chongqing University, Dianhui Chu Harbin Institute of Technology, Chunming Hu Beihang University | ||
14:45 15mTalk | WDD: Weighted Delta Debugging Research Track Xintong Zhou University of Waterloo, Zhenyang Xu University of Waterloo, Mengxiao Zhang University of Waterloo, Yongqiang Tian , Chengnian Sun University of Waterloo | ||
15:00 15mTalk | TopSeed: Learning Seed Selection Strategies for Symbolic Execution from Scratch Research Track | ||
15:15 15mTalk | Hunting bugs: Towards an automated approach to identifying which change caused a bug through regression testing Journal-first Papers Michel Maes Bermejo Universidad Rey Juan Carlos, Alexander Serebrenik Eindhoven University of Technology, Micael Gallego Universidad Rey Juan Carlos, Francisco Gortázar Universidad Rey Juan Carlos, Gregorio Robles Universidad Rey Juan Carlos, Jesus M. Gonzalez-Barahona Universidad Rey Juan Carlos | ||
14:00 - 15:30 | AI for Testing and QA 4Journal-first Papers / Demonstrations / Research Track at 206 plus 208 Chair(s): Andreas Jedlitschka Fraunhofer IESE | ||
14:00 15mTalk | The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning LibrariesSecurityAward Winner Research Track Zhiyuan Li , Jingzheng Wu Institute of Software, The Chinese Academy of Sciences, Xiang Ling Institute of Software, Chinese Academy of Sciences, Tianyue Luo Institute of Software, Chinese Academy of Sciences, ZHIQING RUI Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Yanjun Wu Institute of Software, Chinese Academy of Sciences | ||
14:15 15mTalk | AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL Demonstrations Tyler Stennett Georgia Institute of Technology, Myeongsoo Kim Georgia Institute of Technology, Saurabh Sinha IBM Research, Alessandro Orso Georgia Institute of Technology | ||
14:30 15mTalk | FairBalance: How to Achieve Equalized Odds With Data Pre-processing Journal-first Papers Zhe Yu Rochester Institute of Technology, Joymallya Chakraborty Amazon.com, Tim Menzies North Carolina State University | ||
14:45 15mTalk | RLocator: Reinforcement Learning for Bug Localization Journal-first Papers Partha Chakraborty University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo | ||
15:00 15mTalk | Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP Journal-first Papers Lukas Schulte University of Passau, Benjamin Ledel Digital Learning GmbH, Steffen Herbold University of Passau | ||
15:15 15mTalk | Test Generation Strategies for Building Failure Models and Explaining Spurious Failures Journal-first Papers Baharin Aliashrafi Jodat University of Ottawa, Abhishek Chandar University of Ottawa, Shiva Nejati University of Ottawa, Mehrdad Sabetzadeh University of Ottawa Pre-print | ||
14:00 - 15:30 | Human and Social using AI 1Research Track at 207 Chair(s): Romain Robbes CNRS, LaBRI, University of Bordeaux | ||
14:00 15mTalk | Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers Research Track Yuling Shi Shanghai Jiao Tong University, Hongyu Zhang Chongqing University, Chengcheng Wan East China Normal University, Xiaodong Gu Shanghai Jiao Tong University | ||
14:15 15mTalk | Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword? Research Track Rosalia Tufano Università della Svizzera Italiana, Alberto Martin-Lopez Software Institute - USI, Lugano, Ahmad Tayeb , Ozren Dabic Software Institute, Università della Svizzera italiana (USI), Switzerland, Sonia Haiduc , Gabriele Bavota Software Institute @ Università della Svizzera Italiana | ||
14:30 15mTalk | An Exploratory Study of ML Sketches and Visual Code Assistants Research Track Luis F. Gomes Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University, Jonathan Aldrich Carnegie Mellon University, Rui Abreu Faculty of Engineering of the University of Porto, Portugal | ||
14:45 15mTalk | LiCoEval: Evaluating LLMs on License Compliance in Code Generation Research Track Weiwei Xu Peking University, Kai Gao Peking University, Hao He Carnegie Mellon University, Minghui Zhou Peking University Pre-print | ||
15:00 15mTalk | Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications Research Track Sadra Sabouri University of Southern California, Philipp Eibl University of Southern California, Xinyi Zhou University of Southern California, Morteza Ziyadi Amazon AGI, Nenad Medvidović University of Southern California, Lars Lindemann University of Southern California, Souti Chattopadhyay University of Southern California Pre-print | ||
15:15 15mTalk | What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI Research Track Rudrajit Choudhuri Oregon State University, Bianca Trinkenreich Colorado State University, Rahul Pandita GitHub, Inc., Eirini Kalliamvakou GitHub, Igor Steinmacher NAU RESHAPE LAB, Marco Gerosa Northern Arizona University, Christopher Sanchez Oregon State University, Anita Sarma Oregon State University Pre-print | ||
14:00 - 15:30 | |||
14:00 15mTalk | Large Language Models as Configuration ValidatorsSecurity Research Track Xinyu Lian University of Illinois at Urbana-Champaign, Yinfang Chen University of Illinois at Urbana-Champaign, Runxiang Cheng University of Illinois at Urbana-Champaign, Jie Huang University of Illinois at Urbana-Champaign, Parth Thakkar Meta Platforms, Inc., Minjia Zhang UIUC, Tianyin Xu University of Illinois at Urbana-Champaign | ||
14:15 15mTalk | LLM Assistance for Memory SafetySecurity Research Track Nausheen Mohammed Microsoft Research, Akash Lal Microsoft Research, Aseem Rastogi Microsoft Research, Subhajit Roy IIT Kanpur, Rahul Sharma Microsoft Research | ||
14:30 15mTalk | Vulnerability Detection with Code Language Models: How Far Are We?Security Research Track Yangruibo Ding Columbia University, Yanjun Fu University of Maryland, Omniyyah Ibrahim King Abdulaziz City for Science and Technology, Chawin Sitawarin University of California, Berkeley, Xinyun Chen , Basel Alomair King Abdulaziz City for Science and Technology, David Wagner UC Berkeley, Baishakhi Ray Columbia University, Yizheng Chen University of Maryland | ||
14:45 15mTalk | Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with JustificationsBlockchainSecurity Research Track Wei Ma , Daoyuan Wu Hong Kong University of Science and Technology, Yuqiang Sun Nanyang Technological University, Tianwen Wang National University of Singapore, Shangqing Liu Nanyang Technological University, Jian Zhang Nanyang Technological University, Yue Xue , Yang Liu Nanyang Technological University | ||
15:00 15mTalk | Towards Neural Synthesis for SMT-assisted Proof-Oriented ProgrammingSecurityFormal MethodsAward Winner Research Track Saikat Chakraborty Microsoft Research, Gabriel Ebner Microsoft Research, Siddharth Bhat University of Cambridge, Sarah Fakhoury Microsoft Research, Sakina Fatima University of Ottawa, Shuvendu K. Lahiri Microsoft Research, Nikhil Swamy Microsoft Research | ||
15:15 15mTalk | Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and DefensesSecuritySE for AI Research Track Rodrigo Resendes Pedro INESC-ID / IST, Universidade de Lisboa, Miguel E. Coimbra INESC-ID; Instituto Superior Técnico - University of Lisbon, Daniel Castro INESC-ID / IST, Universidade de Lisboa, Paulo Carreira INESC-ID / IST, Universidade de Lisboa, Nuno Santos INESC-ID; Instituto Superior Técnico - University of Lisbon | ||
14:00 - 15:30 | Analysis 3Research Track / Journal-first Papers at 212 Chair(s): Shaowei Wang University of Manitoba | ||
14:00 15mTalk | Boosting Path-Sensitive Value Flow Analysis via Removal of Redundant Summaries Research Track Yongchao WANG Hong Kong University of Science and Technology, Yuandao Cai Hong Kong University of Science and Technology, Charles Zhang Hong Kong University of Science and Technology Pre-print | ||
14:15 15mTalk | Dockerfile Flakiness: Characterization and Repair Research Track Taha Shabani University of British Columbia, Noor Nashid University of British Columbia, Parsa Alian University of British Columbia, Ali Mesbah University of British Columbia Pre-print | ||
14:30 15mTalk | Evaluating Garbage Collection Performance Across Managed Language Runtimes Research Track Yicheng Wang Institute of Software Chinese Academy of Sciences, Wensheng Dou Institute of Software Chinese Academy of Sciences, Yu Liang Institute of Software Chinese Academy of Sciences, Yi Wang Institute of Software Chinese Academy of Sciences, Wei Wang Institute of Software at Chinese Academy of Sciences, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Tao Huang Institute of Software Chinese Academy of Sciences | ||
14:45 15mTalk | Module-Aware Context Sensitive Pointer Analysis Research Track Haofeng Li SKLP, Institute of Computing Technology, CAS, Chenghang Shi SKLP, Institute of Computing Technology, CAS, Jie Lu SKLP, Institute of Computing Technology, CAS, Lian Li Institute of Computing Technology at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Zixuan Zhao Huawei Technologies Co. Ltd File Attached | ||
15:00 15mTalk | An Empirical Study on Reproducible Packaging in Open-Source Ecosystems Research Track Giacomo Benedetti University of Genoa, Oreofe Solarin Case Western Reserve University, Courtney Miller Carnegie Mellon University, Greg Tystahl NCSU, William Enck North Carolina State University, Christian Kästner Carnegie Mellon University, Alexandros Kapravelos NCSU, Alessio Merlo CASD - School of Advanced Defense Studies, Luca Verderame University of Genoa | ||
15:15 15mTalk | T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax Journal-first Papers Zhenyang Xu University of Waterloo, Yongqiang Tian , Mengxiao Zhang , Jiarui Zhang University of Waterloo, Puzhuo Liu Ant Group & Tsinghua University, Yu Jiang Tsinghua University, Chengnian Sun University of Waterloo | ||
14:00 - 15:30 | |||
14:00 15mTalk | Code Comment Inconsistency Detection and Rectification Using a Large Language Model Research Track Guoping Rong Nanjing University, YongdaYu Nanjing University, Song Liu Nanjing University, Xin Tan Nanjing University, Tianyi Zhang Nanjing University, Haifeng Shen Southern Cross University, Jidong Hu Zhongxing Telecom Equipment | ||
14:15 15mTalk | Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation Research Track Aaron Imani University of California, Irvine, Iftekhar Ahmed University of California at Irvine, Mohammad Moshirpour University of California, Irvine | ||
14:30 15mTalk | HedgeCode: A Multi-Task Hedging Contrastive Learning Framework for Code Search Research Track Gong Chen Wuhan University, Xiaoyuan Xie Wuhan University, Xunzhu Tang University of Luxembourg, Qi Xin Wuhan University, Wenjie Liu Wuhan University | ||
14:45 15mTalk | Reasoning Runtime Behavior of a Program with LLM: How Far Are We? Research Track Junkai Chen Zhejiang University, Zhiyuan Pan Zhejiang University, Xing Hu Zhejiang University, Zhenhao Li York University, Ge Li Peking University, Xin Xia Huawei | ||
15:00 15mTalk | Source Code Summarization in the Era of Large Language Models Research Track Weisong Sun Nanjing University, Yun Miao Nanjing University, Yuekang Li UNSW, Hongyu Zhang Chongqing University, Chunrong Fang Nanjing University, Yi Liu Nanyang Technological University, Gelei Deng Nanyang Technological University, Yang Liu Nanyang Technological University, Zhenyu Chen Nanjing University Media Attached | ||
15:15 15mTalk | Template-Guided Program Repair in the Era of Large Language Models Research Track Kai Huang , Jian Zhang Nanyang Technological University, Xiangxin Meng Beihang University, Beijing, China, Yang Liu Nanyang Technological University File Attached | ||
14:00 - 15:30 | SE for AI 3Research Track / SE in Society (SEIS) / Journal-first Papers at 215 Chair(s): Lina Marsso École Polytechnique de Montréal | ||
14:00 15mTalk | Dissecting Global Search: A Simple yet Effective Method to Boost Individual Discrimination Testing and RepairSE for AI Research Track Lili Quan Tianjin University, Li Tianlin NTU, Xiaofei Xie Singapore Management University, Zhenpeng Chen Nanyang Technological University, Sen Chen Nankai University, Lingxiao Jiang Singapore Management University, Xiaohong Li Tianjin University Pre-print | ||
14:15 15mTalk | FixDrive: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 per ViolationSE for AI Research Track Yang Sun Singapore Management University, Chris Poskitt Singapore Management University, Kun Wang Zhejiang University, Jun Sun Singapore Management University Link to publication DOI Pre-print File Attached | ||
14:30 15mTalk | MARQ: Engineering Mission-Critical AI-based Software with Automated Result Quality AdaptationSE for AI Research Track Uwe Gropengießer Technical University of Darmstadt, Elias Dietz Technical University of Darmstadt, Florian Brandherm Technical University of Darmstadt, Achref Doula Technical University of Darmstadt, Osama Abboud Munich Research Center, Huawei, Xun Xiao Munich Research Center, Huawei, Max Mühlhäuser Technical University of Darmstadt | ||
14:45 15mTalk | An Empirical Study of Challenges in Machine Learning Asset ManagementSE for AI Journal-first Papers Zhimin Zhao Queen's University, Yihao Chen Queen's University, Abdul Ali Bangash Software Analysis and Intelligence Lab (SAIL), Queen's University, Canada, Bram Adams Queen's University, Ahmed E. Hassan Queen’s University | ||
15:00 15mTalk | A Reference Model for Empirically Comparing LLMs with HumansSE for AI SE in Society (SEIS) Kurt Schneider Leibniz Universität Hannover, Software Engineering Group, Farnaz Fotrousi Chalmers University of Technology and University of Gothenburg, Rebekka Wohlrab Chalmers University of Technology | ||
15:15 7mTalk | Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-PracticeSE for AI Journal-first Papers Bentley Oakes Polytechnique Montréal, Michalis Famelis Université de Montréal, Houari Sahraoui DIRO, Université de Montréal DOI Pre-print File Attached | ||
15:30 - 16:00 | Thu Afternoon Break Posters 15:30-16:00Journal-first Papers / Research Track / New Ideas and Emerging Results (NIER) / SE in Society (SEIS) at Canada Hall 3 Poster Area | ||
15:30 30mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
15:30 30mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
15:30 30mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
15:30 30mPoster | BSan: A Powerful Identifier-Based Hardware-Independent Memory Error Detector for COTS Binaries Research Track Wen Zhang University of Georgia, Botang Xiao University of Georgia, Qingchen Kong University of Georgia, Le Guan University of Georgia, Wenwen Wang University of Georgia | ||
15:30 30mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
15:30 30mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
15:30 30mPoster | SimClone: Detecting Tabular Data Clones using Value Similarity Journal-first Papers Xu Yang University of Manitoba, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Shaowei Wang University of Manitoba, Zhen Ming (Jack) Jiang York University | ||
15:30 30mTalk | Strategies to Embed Human Values in Mobile Apps: What do End-Users and Practitioners Think? SE in Society (SEIS) Rifat Ara Shams CSIRO's Data61, Mojtaba Shahin RMIT University, Gillian Oliver Monash University, Jon Whittle CSIRO's Data61 and Monash University, Waqar Hussain Data61, CSIRO, Harsha Perera CSIRO's Data61, Arif Nurwidyantoro Universitas Gadjah Mada | ||
Fri 2 MayDisplayed time zone: Eastern Time (US & Canada) change
Fri 2 May
Displayed time zone: Eastern Time (US & Canada) change
10:30 - 11:00 | Fri Morning Break Posters 10:30-11Journal-first Papers / SE In Practice (SEIP) / Research Track / SE in Society (SEIS) / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
10:30 30mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
10:30 30mTalk | Automating Explanation Need Management in App Reviews: A Case Study from the Navigation App Industry SE In Practice (SEIP) Martin Obaidi Leibniz Universität Hannover, Nicolas Voß Graphmasters GmbH, Hannah Deters Leibniz University Hannover, Jakob Droste Leibniz Universität Hannover, Marc Herrmann Leibniz University Hannover, Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Kurt Schneider Leibniz Universität Hannover, Software Engineering Group | ||
10:30 30mTalk | On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.Security Journal-first Papers Aurora Papotti Vrije Universiteit Amsterdam, Ranindya Paramitha University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam | ||
10:30 30mTalk | Relevant information in TDD experiment reporting Journal-first Papers Fernando Uyaguari Instituto Superior Tecnológico Wissen, Silvia Teresita Acuña Castillo Universidad Autónoma de Madrid, John W. Castro Universidad de Atacama, Davide Fucci Blekinge Institute of Technology, Oscar Dieste Universidad Politécnica de Madrid, Sira Vegas Universidad Politecnica de Madrid | ||
10:30 30mTalk | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks Research Track Yisong Xiao Beihang University, Aishan Liu Beihang University; Institute of Dataspace, Xinwei Zhang Beihang University, Tianyuan Zhang Beihang University, Li Tianlin NTU, Siyuan Liang National University of Singapore, Xianglong Liu Beihang University; Institute of Dataspace; Zhongguancun Laboratory, Yang Liu Nanyang Technological University, Dacheng Tao Nanyang Technological University | ||
10:30 30mTalk | Ethical Issues in Video Games: Insights from Reddit Discussions SE in Society (SEIS) | ||
10:30 30mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
11:00 - 12:30 | Program Comprehension 3Research Track / Journal-first Papers at 204 Chair(s): Arie van Deursen TU Delft | ||
11:00 15mTalk | Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and MigrationBlockchain Research Track Jiashuo Zhang Peking University, China, Jiachi Chen Sun Yat-sen University, John Grundy Monash University, Jianbo Gao Peking University, Yanlin Wang Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Zhi Guan Peking University, Zhong Chen Pre-print | ||
11:15 15mTalk | Boosting Code-line-level Defect Prediction with Spectrum Information and Causality Analysis Research Track Shiyu Sun , Yanhui Li Nanjing University, Lin Chen Nanjing University, Yuming Zhou Nanjing University, Jianhua Zhao Nanjing University, China | ||
11:30 15mTalk | BatFix: Repairing language model-based transpilation Journal-first Papers Daniel Ramos Carnegie Mellon University, Ines Lynce INESC-ID/IST, Universidade de Lisboa, Vasco Manquinho INESC-ID; Universidade de Lisboa, Ruben Martins Carnegie Mellon University, Claire Le Goues Carnegie Mellon University | ||
11:45 15mTalk | Tracking the Evolution of Static Code Warnings: The State-of-the-Art and a Better Approach Journal-first Papers | ||
12:00 15mTalk | PACE: A Program Analysis Framework for Continuous Performance Prediction Journal-first Papers | ||
12:15 15mTalk | Mimicking Production Behavior With Generated Mocks Journal-first Papers Deepika Tiwari KTH Royal Institute of Technology, Martin Monperrus KTH Royal Institute of Technology, Benoit Baudry Université de Montréal | ||
11:00 - 12:30 | |||
11:00 15mTalk | DPFuzzer: Discovering Safety Critical Vulnerabilities for Drone Path PlannersSecurity Research Track Yue Wang , Chao Yang Xidian University, Xiaodong Zhang , Yuwanqi Deng Xidian University, Jianfeng Ma Xidian University | ||
11:15 15mTalk | IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation Research Track Yuyang Rong University of California, Davis, Zhanghan Yu University of California, Davis, Zhenkai Weng University of California, Davis, Stephen Neuendorffer Advanced Micro Devices, Inc., Hao Chen University of California at Davis | ||
11:30 15mTalk | Ranking Relevant Tests for Order-Dependent Flaky Tests Research Track Shanto Rahman The University of Texas at Austin, Bala Naren Chanumolu George Mason University, Suzzana Rafi George Mason University, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
11:45 15mTalk | Selecting Initial Seeds for Better JVM Fuzzing Research Track Tianchang Gao Tianjin University, Junjie Chen Tianjin University, Dong Wang Tianjin University, Yile Guo College of Intelligence and Computing, Tianjin University, Yingquan Zhao Tianjin University, Zan Wang Tianjin University | ||
12:00 15mTalk | Toward a Better Understanding of Probabilistic Delta Debugging Research Track Mengxiao Zhang , Zhenyang Xu University of Waterloo, Yongqiang Tian , Xinru Cheng University of Waterloo, Chengnian Sun University of Waterloo | ||
12:15 15mTalk | Tumbling Down the Rabbit Hole: How do Assisting Exploration Strategies Facilitate Grey-box Fuzzing?Award Winner Research Track Mingyuan Wu Southern University of Science and Technology, Jiahong Xiang Southern University of Science and Technology, Kunqiu Chen Southern University of Science and Technology, Peng Di Ant Group & UNSW Sydney, Shin Hwei Tan Concordia University, Heming Cui University of Hong Kong, Yuqun Zhang Southern University of Science and Technology | ||
11:00 - 12:30 | Human and Social 3SE In Practice (SEIP) / Journal-first Papers / Research Track / New Ideas and Emerging Results (NIER) at 206 plus 208 Chair(s): Yuan Tian Queen's University, Kingston, Ontario | ||
11:00 15mTalk | Relationship Status: “It’s complicated” Developer-Security Expert Dynamics in ScrumSecurity Research Track Houda Naji Ruhr University Bochum, Marco Gutfleisch Ruhr University Bochum, Alena Naiakshina Ruhr University Bochum | ||
11:15 15mTalk | Soft Skills in Software Engineering: Insights from the Trenches SE In Practice (SEIP) Sanna Malinen University of Canterbury, Matthias Galster University of Canterbury, Antonija Mitrovic University of Canterbury, New Zealand, Sreedevi Sankara Iyer University of Canterbury, Pasan Peiris University of Canterbury, New Zealand, April Clarke University of Canterbury | ||
11:30 15mTalk | A Unified Browser-Based Consent Management Framework New Ideas and Emerging Results (NIER) Gayatri Priyadarsini Indian Institute of Technology Gandhinagar, Abhishek Bichhawat Indian Institute of Technology Gandhinagar | ||
11:45 15mTalk | Predicting Attrition among Software Professionals: Antecedents and Consequences of Burnout and Engagement Journal-first Papers Bianca Trinkenreich Colorado State University, Fabio Marcos De Abreu Santos Colorado State University, USA, Klaas-Jan Stol Lero; University College Cork; SINTEF Digital | ||
12:00 7mTalk | A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering Journal-first Papers Anda Liang Vanderbilt University, Emerson Murphy-Hill Microsoft, Westley Weimer University of Michigan, Yu Huang Vanderbilt University | ||
12:07 7mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
12:14 7mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
12:21 7mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
11:00 - 12:30 | Security and Analysis 2Research Track at 210 Chair(s): Jordan Samhi University of Luxembourg, Luxembourg | ||
11:00 15mTalk | A Study of Undefined Behavior Across Foreign Function Boundaries in Rust LibrariesSecurity Research Track Ian McCormack Carnegie Mellon University, Joshua Sunshine Carnegie Mellon University, Jonathan Aldrich Carnegie Mellon University Pre-print | ||
11:15 15mTalk | Cooperative Software Verification via Dynamic Program SplittingSecurity Research Track Cedric Richter University of Oldenburg, Marek Chalupa Institute of Science and Technology Austria, Marie-Christine Jakobs LMU Munich, Germany, Heike Wehrheim University of Oldenburg | ||
11:30 15mTalk | Exposing the Hidden Layer: Software Repositories in the Service of SEO ManipulationSecurity Research Track Mengying Wu Fudan University, Geng Hong Fudan University, Wuyuao Mai Fudan University, Xinyi Wu Fudan University, Lei Zhang Fudan University, Yingyuan Pu QI-ANXIN Technology Research Institute, Huajun Chai QI-ANXIN Technology Research Institute, Lingyun Ying Qi An Xin Group Corp., Haixin Duan Institute for Network Science and Cyberspace, Tsinghua University; Qi An Xin Group Corp., Min Yang Fudan University | ||
11:45 15mTalk | Hetrify: Efficient Verification of Heterogeneous Programs on RISC-VSecurityAward Winner Research Track Yiwei Li School of Computer, National Univer sity of Defense Technology, Liangze Yin School of Computer, National Univer sity of Defense Technology, Wei Dong National University of Defense Technology, Jiaxin Liu National University of Defense Technology, Yanfeng Hu School of Computer, National Univer sity of Defense Technology, Shanshan Li National University of Defense Technology | ||
12:00 15mTalk | Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic ExecutionSecurity Research Track Shuo Yang Sun Yat-sen University, Xingwei Lin Ant Group, Jiachi Chen Sun Yat-sen University, Qingyuan Zhong Sun Yat-sen University, Lei Xiao Sun Yat-sen University, renke huang Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Zibin Zheng Sun Yat-sen University | ||
12:15 15mTalk | SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp AnalysisSecurity Research Track Jingwen Zhang School of Software Engineering, Sun Yat sen University, Zibin Zheng Sun Yat-sen University, Yuhong Nan Sun Yat-sen University, Mingxi Ye Sun Yat-sen University, Kaiwen Ning Sun Yat-sen University, Yu Zhang Harbin Institute of Technology, Weizhe Zhang Harbin Institute of Technology | ||
11:00 - 12:30 | Design and Architecture 1Research Track / SE In Practice (SEIP) / Journal-first Papers at 211 Chair(s): Tushar Sharma Dalhousie University | ||
11:00 15mTalk | A Catalog of Micro Frontends Anti-patterns Research Track Nabson Silva UFAM - Federal University of Amazonas, Eriky Rodrigues UFAM - Federal University of Amazonas Brazil, Tayana Conte Universidade Federal do Amazonas | ||
11:15 15mTalk | PairSmell: A Novel Perspective Inspecting Software Modular Structure Research Track Chenxing Zhong Nanjing University, Daniel Feitosa University of Groningen, Paris Avgeriou Univ. of Gronningen , Huang Huang State Grid Nanjing Power Supply Company, Yue Li Nanjing University, He Zhang Nanjing University Pre-print | ||
11:30 15mTalk | Understanding Architectural Complexity, Maintenance Burden, and Developer Sentiment---a Large-Scale Study Research Track Yuanfang Cai Drexel University, Lanting He Google, Yony Kochinski Google, Jun Qian Google, Ciera Jaspan Google, Nan Zhang Google, Antonio Bianco Google | ||
11:45 15mTalk | A Large-Scale Exploratory Study on the Proxy Pattern in EthereumBlockchain Journal-first Papers Amir Ebrahimi Queen's University, Bram Adams Queen's University, Gustavo A. Oliva Queen's University, Ahmed E. Hassan Queen’s University | ||
12:00 15mTalk | Video Game Procedural Content Generation Through Software Transplantation SE In Practice (SEIP) Mar Zamorano López University College London, Daniel Blasco SVIT Research Group. Universidad San Jorge, Carlos Cetina , Federica Sarro University College London | ||
11:00 - 12:30 | AI for Analysis 4Research Track / New Ideas and Emerging Results (NIER) / SE In Practice (SEIP) at 212 Chair(s): Maliheh Izadi Delft University of Technology, Ali Al-Kaswan Delft University of Technology, Netherlands, Jonathan Katzy Delft University of Technology | ||
11:00 15mTalk | RepairAgent: An Autonomous, LLM-Based Agent for Program Repair Research Track Islem BOUZENIA University of Stuttgart, Prem Devanbu University of California at Davis, Michael Pradel University of Stuttgart Pre-print | ||
11:15 15mTalk | Evaluating Agent-based Program Repair at Google SE In Practice (SEIP) Patrick Rondon Google, Renyao Wei Google, José Pablo Cambronero Google, USA, Jürgen Cito TU Wien, Aaron Sun Google, Siddhant Sanyam Google, Michele Tufano Google, Satish Chandra Google, Inc | ||
11:30 15mTalk | Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset SE In Practice (SEIP) Mohammad Saiful Islam Toronto Metropolitan University, Toronto, Canada, Mohamed Sami Rakha Toronto Metropolitan University, Toronto, Canada, William Pourmajidi Toronto Metropolitan University, Toronto, Canada, Janakan Sivaloganathan Toronto Metropolitan University, Toronto, Canada, John Steinbacher IBM, Andriy Miranskyy Toronto Metropolitan University (formerly Ryerson University) Pre-print | ||
11:45 15mTalk | Crash Report Prioritization for Large-Scale Scheduled Launches SE In Practice (SEIP) Nimmi Rashinika Weeraddana University of Waterloo, Sarra Habchi Ubisoft Montréal, Shane McIntosh University of Waterloo | ||
12:00 15mTalk | LogLM: From Task-based to Instruction-based Automated Log Analysis SE In Practice (SEIP) Yilun Liu Huawei co. LTD, Yuhe Ji Huawei co. LTD, Shimin Tao University of Science and Technology of China; Huawei co. LTD, Minggui He Huawei co. LTD, Weibin Meng Huawei co. LTD, Shenglin Zhang Nankai University, Yongqian Sun Nankai University, Yuming Xie Huawei co. LTD, Boxing Chen Huawei Canada, Hao Yang Huawei co. LTD Pre-print | ||
12:15 7mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | ASTER: Natural and Multi-language Unit Test Generation with LLMsAward Winner SE In Practice (SEIP) Rangeet Pan IBM Research, Myeongsoo Kim Georgia Institute of Technology, Rahul Krishna IBM Research, Raju Pavuluri IBM T.J. Watson Research Center, Saurabh Sinha IBM Research Pre-print | ||
11:15 15mTalk | Automated Code Review In Practice SE In Practice (SEIP) Umut Cihan Bilkent University, Vahid Haratian Bilkent Univeristy, Arda İçöz Bilkent University, Mert Kaan Gül Beko, Ömercan Devran Beko, Emircan Furkan Bayendur Beko, Baykal Mehmet Ucar Beko, Eray Tüzün Bilkent University Pre-print | ||
11:30 15mTalk | CI at Scale: Lean, Green, and Fast SE In Practice (SEIP) Dhruva Juloori Uber Technologies, Inc, Zhongpeng Lin Uber Technologies Inc., Matthew Williams Uber Technologies, Inc, Eddy Shin Uber Technologies, Inc, Sonal Mahajan Uber Technologies Inc. | ||
11:45 15mTalk | Moving Faster and Reducing Risk: Using LLMs in Release DeploymentAward Winner SE In Practice (SEIP) Rui Abreu Meta, Vijayaraghavan Murali Meta Platforms Inc., Peter C Rigby Meta / Concordia University, Chandra Sekhar Maddila Meta Platforms, Inc., Weiyan Sun Meta Platforms, Inc., Jun Ge Meta Platforms, Inc., Kaavya Chinniah Meta Platforms, Inc., Audris Mockus University of Tennessee, Megh Mehta Meta Platforms, Inc., Nachiappan Nagappan Meta Platforms, Inc. | ||
12:00 15mTalk | Prioritizing Large-scale Natural Language Test Cases at OPPO SE In Practice (SEIP) Haoran Xu , Chen Zhi Zhejiang University, Tianyu Xiang Guangdong Oppo Mobile Telecommunications Corp., Ltd., Zixuan Wu Zhejiang University, Gaorong Zhang Zhejiang University, Xinkui Zhao Zhejiang University, Jianwei Yin Zhejiang University, Shuiguang Deng Zhejiang University; Alibaba-Zhejiang University Joint Institute of Frontier Technologies | ||
12:15 15mTalk | Search+LLM-based Testing for ARM Simulators SE In Practice (SEIP) Bobby Bruce University of California at Davis, USA, Aidan Dakhama King's College London, Karine Even-Mendoza King’s College London, William B. Langdon University College London, Hector Menendez King’s College London, Justyna Petke University College London | ||
11:00 - 12:30 | SE for AI with Quality 1Research Track at 215 Chair(s): Chris Poskitt Singapore Management University | ||
11:00 15mTalk | A Tale of Two DL Cities: When Library Tests Meet CompilerSE for AI Research Track Qingchao Shen Tianjin University, Yongqiang Tian , Haoyang Ma Hong Kong University of Science and Technology, Junjie Chen Tianjin University, Lili Huang College of Intelligence and Computing, Tianjin University, Ruifeng Fu Tianjin University, Shing-Chi Cheung Hong Kong University of Science and Technology, Zan Wang Tianjin University | ||
11:15 15mTalk | Iterative Generation of Adversarial Example for Deep Code ModelsSE for AIAward Winner Research Track | ||
11:30 15mTalk | On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning ImplementationsSE for AI Research Track Rajdeep Singh Hundal National University of Singapore, Yan Xiao Sun Yat-sen University, Xiaochun Cao Sun Yat-Sen University, Jin Song Dong National University of Singapore, Manuel Rigger National University of Singapore Pre-print Media Attached File Attached | ||
11:45 15mTalk | µPRL: a Mutation Testing Pipeline for Deep Reinforcement Learning based on Real FaultsSE for AI Research Track Deepak-George Thomas Tulane University, Matteo Biagiola Università della Svizzera italiana, Nargiz Humbatova Università della Svizzera italiana, Mohammad Wardat Oakland University, USA, Gunel Jahangirova King's College London, Hridesh Rajan Tulane University, Paolo Tonella USI Lugano Pre-print | ||
12:00 15mTalk | Testing and Understanding Deviation Behaviors in FHE-hardened Machine Learning ModelsSE for AI Research Track Yiteng Peng Hong Kong University of Science and Technology, Daoyuan Wu Hong Kong University of Science and Technology, Zhibo Liu Hong Kong University of Science and Technology, Dongwei Xiao Hong Kong University of Science and Technology, Zhenlan Ji The Hong Kong University of Science and Technology, Juergen Rahmel HSBC, Shuai Wang Hong Kong University of Science and Technology | ||
12:15 15mTalk | TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceSE for AI Research Track Pre-print | ||
11:00 - 12:30 | AI for SE 3New Ideas and Emerging Results (NIER) / Journal-first Papers / Research Track / SE In Practice (SEIP) at Canada Hall 1 and 2 Chair(s): Ying Zou Queen's University, Kingston, Ontario | ||
11:00 15mTalk | A First Look at Conventional Commits Classification Research Track Qunhong Zeng Beijing Institute of Technology, Yuxia Zhang Beijing Institute of Technology, Zhiqing Qiu Beijing Institute of Technology, Hui Liu Beijing Institute of Technology | ||
11:15 15mTalk | ChatGPT-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples Research Track Chunhao Dong Beijing Institute of Technology, Yanjie Jiang Peking University, Yuxia Zhang Beijing Institute of Technology, Yang Zhang Hebei University of Science and Technology, Hui Liu Beijing Institute of Technology | ||
11:30 15mTalk | SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Research Track Wenchao Gu The Chinese University of Hong Kong, Ensheng Shi Xi’an Jiaotong University, Yanlin Wang Sun Yat-sen University, Lun Du Microsoft Research, Shi Han Microsoft Research, Hongyu Zhang Chongqing University, Dongmei Zhang Microsoft Research, Michael Lyu The Chinese University of Hong Kong | ||
11:45 15mTalk | UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation New Ideas and Emerging Results (NIER) Liangying Shao School of Informatics, Xiamen University, China, Yanfu Yan William & Mary, Denys Poshyvanyk William & Mary, Jinsong Su School of Informatics, Xiamen University, China | ||
12:00 15mTalk | How is Google using AI for internal code migrations? SE In Practice (SEIP) Stoyan Nikolov Google, Inc., Daniele Codecasa Google, Inc., Anna Sjovall Google, Inc., Maxim Tabachnyk Google, Siddharth Taneja Google, Inc., Celal Ziftci Google, Satish Chandra Google, Inc | ||
12:15 7mTalk | LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation Journal-first Papers Sarah Fakhoury Microsoft Research, Aaditya Naik University of Pennsylvania, Georgios Sakkas University of California at San Diego, Saikat Chakraborty Microsoft Research, Shuvendu K. Lahiri Microsoft Research Link to publication | ||
12:22 7mTalk | The impact of Concept drift and Data leakage on Log Level Prediction Models Journal-first Papers Youssef Esseddiq Ouatiti Queen's university, Mohammed Sayagh ETS Montreal, University of Quebec, Noureddine Kerzazi Ensias-Rabat, Bram Adams Queen's University, Ahmed E. Hassan Queen’s University, Youssef Esseddiq Ouatiti Queen's university | ||
13:00 - 13:30 | Fri Lunch Posters 13:00-13:30SE in Society (SEIS) / Journal-first Papers / Demonstrations / Research Track / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
13:00 30mTalk | Strategies to Embed Human Values in Mobile Apps: What do End-Users and Practitioners Think? SE in Society (SEIS) Rifat Ara Shams CSIRO's Data61, Mojtaba Shahin RMIT University, Gillian Oliver Monash University, Jon Whittle CSIRO's Data61 and Monash University, Waqar Hussain Data61, CSIRO, Harsha Perera CSIRO's Data61, Arif Nurwidyantoro Universitas Gadjah Mada | ||
13:00 30mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
13:00 30mPoster | HyperCRX 2.0: A Comprehensive and Automated Tool for Empowering GitHub Insights Demonstrations Yantong Wang East China Normal University, Shengyu Zhao Tongji University, will wang , Fenglin Bi East China Normal University | ||
13:00 30mPoster | Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Research Track Kunpeng Zhang The Hong Kong University of Science and Technology, Shuai Wang Hong Kong University of Science and Technology, Jitao Han Central University of Finance and Economics, Xiaogang Zhu The University of Adelaide, Xian Li Swinburne University of Technology, Shaohua Wang Central University of Finance and Economics, Sheng Wen Swinburne University of Technology | ||
13:00 30mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
13:00 30mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
13:00 30mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
14:00 - 15:30 | |||
14:00 15mTalk | Decoding the Issue Resolution Process In Practice via Issue Report Analysis: A Case Study of Firefox Research Track Pre-print | ||
14:15 15mTalk | Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements Research Track Huaijin Wang Ohio State University, Zhibo Liu Hong Kong University of Science and Technology, Yanbo Dai The Hong Kong University of Science and Technology (Guangzhou), Shuai Wang Hong Kong University of Science and Technology, Qiyi Tang Tencent Security Keen Lab, Sen Nie Tencent Security Keen Lab, Shi Wu Tencent Security Keen Lab | ||
14:30 15mTalk | UML is Back. Or is it? Investigating the Past, Present, and Future of UML in Open Source Software Research Track Joseph Romeo Software Institute - USI, Lugano, Switzerland, Marco Raglianti Software Institute - USI, Lugano, Csaba Nagy , Michele Lanza Software Institute - USI, Lugano Pre-print | ||
14:45 15mTalk | Understanding the Response to Open-Source Dependency Abandonment in the npm EcosystemAward Winner Research Track Courtney Miller Carnegie Mellon University, Mahmoud Jahanshahi University of Tennessee, Audris Mockus University of Tennessee, Bogdan Vasilescu Raj Reddy Associate Professor of Software and Societal Systems, Carnegie Mellon University, USA, Christian Kästner Carnegie Mellon University | ||
15:00 15mTalk | Understanding Compiler Bugs in Real Development Research Track Hao Zhong Shanghai Jiao Tong University | ||
15:15 15mTalk | Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI Research Track Zachary Karas Vanderbilt University, Benjamin Gold Vanderbilt University, Violet Zhou University of Michigan, Noah Reardon University of Michigan, Thad Polk University of Michigan, Catie Chang Vanderbilt University, Yu Huang Vanderbilt University | ||
14:00 - 15:30 | Testing and QA 5Research Track / Journal-first Papers / New Ideas and Emerging Results (NIER) / Demonstrations at 205 Chair(s): Giovanni Denaro University of Milano - Bicocca | ||
14:00 15mTalk | Leveraging Propagated Infection to Crossfire Mutants Research Track Hang Du University of California at Irvine, Vijay Krishna Palepu Microsoft, James Jones University of California at Irvine File Attached | ||
14:15 15mTalk | IFSE: Taming Closed-box Functions in Symbolic Execution via Fuzz Solving Demonstrations Qichang Wang East China Normal University, Chuyang Chen The Ohio State University, Ruiyang Xu East China Normal University, Haiying Sun East China Normal University, Chengcheng Wan East China Normal University, Ting Su East China Normal University, Yueling Zhang East China Normal University, Geguang Pu East China Normal University, China | ||
14:30 15mTalk | Takuan: Using Dynamic Invariants To Debug Order-Dependent Flaky Tests New Ideas and Emerging Results (NIER) Nate Levin Yorktown High School, Chengpeng Li University of Texas at Austin, Yule Zhang George Mason University, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
14:45 15mTalk | Vision Transformer Inspired Automated Vulnerability RepairSecurity Journal-first Papers Michael Fu The University of Melbourne, Van Nguyen Monash University, Kla Tantithamthavorn Monash University, Dinh Phung Monash University, Australia, Trung Le Monash University, Australia | ||
15:00 15mTalk | ZigZagFuzz: Interleaved Fuzzing of Program Options and Files Journal-first Papers Ahcheong Lee KAIST, Youngseok Choi KAIST, Shin Hong Chungbuk National University, Yunho Kim Hanyang University, Kyutae Cho LIG Nex1 AI R&D, Moonzoo Kim KAIST / VPlusLab Inc. | ||
15:15 15mTalk | Reducing the Length of Field-replay Based Load Testing Journal-first Papers Yuanjie Xia University of Waterloo, Lizhi Liao Memorial University of Newfoundland, Jinfu Chen Wuhan University, Heng Li Polytechnique Montréal, Weiyi Shang University of Waterloo | ||
14:00 - 15:30 | Design and Architecture 2Journal-first Papers / Research Track at 211 Chair(s): Yuanfang Cai Drexel University, Jan Keim Karlsruhe Institute of Technology (KIT) | ||
14:00 15mTalk | An Exploratory Study on the Engineering of Security FeaturesSecurity Research Track Kevin Hermann Ruhr University Bochum, Sven Peldszus Ruhr University Bochum, Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions, Thorsten Berger Ruhr University Bochum Pre-print | ||
14:15 15mTalk | DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models Research Track Mingyue Yuan The university of new South Wales, Jieshan Chen CSIRO's Data61, Zhenchang Xing CSIRO's Data61, Aaron Quigley CSIRO's Data61, Yuyu Luo HKUST (GZ), Tianqi Luo HKUST (GZ), Gelareh Mohammadi The university of new South Wales, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61 | ||
14:30 15mTalk | Fidelity of Cloud Emulators: The Imitation Game of Testing Cloud-based Software Research Track Anna Mazhar Cornell University, Saad Sher Alam University of Illinois Urbana-Champaign, William Zheng University of Illinois Urbana-Champaign, Yinfang Chen University of Illinois at Urbana-Champaign, Suman Nath Microsoft Research, Tianyin Xu University of Illinois at Urbana-Champaign | ||
14:45 15mTalk | Formally Verified Cloud-Scale AuthorizationAward Winner Research Track Aleks Chakarov Amazon Web Services, Jaco Geldenhuys Amazon Web Services, Matthew Heck Amazon Web Services, MIchael Hicks Amazon, Samuel Huang Amazon Web Services, Georges-Axel Jaloyan Amazon Web Services, Anjali Joshi Amazon, K. Rustan M. Leino Amazon, Mikael Mayer Automated Reasoning Group, Amazon Web Services, Sean McLaughlin Amazon Web Services, Akhilesh Mritunjai Amazon.com, Clement Pit-Claudel EPFL, Sorawee Porncharoenwase Amazon Web Services, Florian Rabe Amazon Web Services, Marianna Rapoport Amazon Web Services, Giles Reger Amazon Web Services, Cody Roux Amazon Web Services, Neha Rungta Amazon Web Services, Robin Salkeld Amazon Web Services, Matthias Schlaipfer Amazon Web Services, Daniel Schoepe Amazon, Johanna Schwartzentruber Amazon Web Services, Serdar Tasiran Amazon, n.n., Aaron Tomb Amazon, Emina Torlak Amazon Web Services, USA, Jean-Baptiste Tristan Amazon, Lucas Wagner Amazon Web Services, Michael Whalen Amazon Web Services and the University of Minnesota, Remy Willems Amazon, Tongtong Xiang Amazon Web Services, Taejoon Byun University of Minnesota, Joshua M. Cohen Princeton University, Ruijie Fang University of Texas at Austin, Junyoung Jang McGill University, Jakob Rath TU Wien, Hira Taqdees Syeda , Dominik Wagner University of Oxford, Yongwei Yuan Purdue University | ||
15:00 15mTalk | The Same Only Different: On Information Modality for Configuration Performance Analysis Research Track Hongyuan Liang University of Electronic Science and Technology of China, Yue Huang University of Electronic Science and Technology of China, Tao Chen University of Birmingham Pre-print | ||
15:15 7mTalk | Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features Journal-first Papers Wenwei Gu The Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Jianping Zhang The Chinese University of Hong Kong, Yuxin Su Sun Yat-sen University, Jiazhen Gu Chinese University of Hong Kong, Cong Feng Huawei Cloud Computing Technology, Zengyin Yang Computing and Networking Innovation Lab, Huawei Cloud Computing Technology Co., Ltd, Yongqiang Yang Huawei Cloud Computing Technology, Michael Lyu The Chinese University of Hong Kong | ||
14:00 - 15:30 | AI for Analysis 5Research Track / New Ideas and Emerging Results (NIER) at 212 Chair(s): Tien N. Nguyen University of Texas at Dallas | ||
14:00 15mTalk | 3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers Research Track Sarah Fakhoury Microsoft Research, Markus Kuppe Microsoft Research, Shuvendu K. Lahiri Microsoft Research, Tahina Ramananandro Microsoft Research, Nikhil Swamy Microsoft Research Pre-print | ||
14:15 15mTalk | Aligning the Objective of LLM-based Program Repair Research Track Junjielong Xu The Chinese University of Hong Kong, Shenzhen, Ying Fu Chongqing University, Shin Hwei Tan Concordia University, Pinjia He Chinese University of Hong Kong, Shenzhen Pre-print | ||
14:30 15mTalk | Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models Research Track Aidan Z.H. Yang Carnegie Mellon University, Sophia Kolak Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University, Ruben Martins Carnegie Mellon University, Claire Le Goues Carnegie Mellon University | ||
14:45 15mTalk | The Fact Selection Problem in LLM-Based Program Repair Research Track Nikhil Parasaram Uber Amsterdam, Huijie Yan University College London, Boyu Yang University College London, Zineb Flahy University College London, Abriele Qudsi University College London, Damian Ziaber University College London, Earl T. Barr University College London, Sergey Mechtaev Peking University | ||
15:00 15mTalk | Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models Research Track Zhijie Wang University of Alberta, Zijie Zhou University of Illinois Urbana-Champaign, Da Song University of Alberta, Yuheng Huang University of Alberta, Canada, Shengmai Chen Purdue University, Lei Ma The University of Tokyo & University of Alberta, Tianyi Zhang Purdue University Pre-print | ||
15:15 15mTalk | Beyond Syntax: How Do LLMs Understand Code? New Ideas and Emerging Results (NIER) Marc North Durham University, Amir Atapour-Abarghouei Durham University, Nelly Bencomo Durham University | ||
14:00 - 15:30 | |||
14:00 15mTalk | Repository-Level Graph Representation Learning for Enhanced Security Patch DetectionSecurity Research Track Xin-Cheng Wen Harbin Institute of Technology, Zirui Lin Harbin Institute of Technology, Shenzhen, Cuiyun Gao Harbin Institute of Technology, Hongyu Zhang Chongqing University, Yong Wang Anhui Polytechnic University, Qing Liao Harbin Institute of Technology | ||
14:15 15mTalk | FAMOS: Fault diagnosis for Microservice Systems through Effective Multi-modal Data FusionSecurity Research Track Chiming Duan Peking University, Yong Yang Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Guiyang Liu Alibaba, Jinbu Liu Alibaba, Huxing Zhang Alibaba Group, Qi Zhou Alibaba, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University | ||
14:30 15mTalk | Leveraging Large Language Models to Detect npm Malicious PackagesSecurity Research Track Nusrat Zahan North Carolina State University, Philipp Burckhardt Socket, Inc, Mikola Lysenko Socket, Inc, Feross Aboukhadijeh Socket, Inc, Laurie Williams North Carolina State University | ||
14:45 15mTalk | Magika: AI-Powered Content-Type DetectionSecurity Research Track Yanick Fratantonio Google, Luca Invernizzi Google, Loua Farah Google, Kurt Thomas Google, Marina Zhang Google, Ange Albertini Google, Francois Galilee Google, Giancarlo Metitieri Google, Julien Cretin Google, Alex Petit-Bianco Google, David Tao Google, Elie Bursztein Google | ||
15:00 15mTalk | Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDESecurity Research Track Benjamin Steenhoek Microsoft, Siva Sivaraman Microsoft, Renata Saldivar Gonzalez Microsoft, Yevhen Mohylevskyy Microsoft, Roshanak Zilouchian Moghaddam Microsoft, Wei Le Iowa State University | ||
15:15 15mTalk | Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code NaturalnessSecurity Research Track Weisong Sun Nanjing University, Yuchen Chen Nanjing University, Mengzhe Yuan Nanjing University, Chunrong Fang Nanjing University, Zhenpeng Chen Nanyang Technological University, Chong Wang Nanyang Technological University, Yang Liu Nanyang Technological University, Baowen Xu State Key Laboratory for Novel Software Technology, Nanjing University, Zhenyu Chen Nanjing University Pre-print Media Attached | ||
16:00 - 17:30 | ProcessNew Ideas and Emerging Results (NIER) / Journal-first Papers / Research Track / SE In Practice (SEIP) at 203 Chair(s): Luigi Benedicenti University of New Brunswick | ||
16:00 15mTalk | Full Line Code Completion: Bringing AI to Desktop SE In Practice (SEIP) Anton Semenkin JetBrains, Vitaliy Bibaev JetBrains, Yaroslav Sokolov JetBrains, Kirill Krylov JetBrains, Alexey Kalina JetBrains, Anna Khannanova JetBrains, Danila Savenkov JetBrains, Darya Rovdo JetBrains, Igor Davidenko JetBrains, Kirill Karnaukhov JetBrains, Maxim Vakhrushev JetBrains, Mikhail Kostyukov JetBrains, Mikhail Podvitskii JetBrains, Petr Surkov JetBrains, Yaroslav Golubev JetBrains Research, Nikita Povarov JetBrains, Timofey Bryksin JetBrains Research Pre-print | ||
16:15 15mTalk | Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps Research Track Forough Mehralian University of California at Irvine, Ziyao He University of California, Irvine, Sam Malek University of California at Irvine | ||
16:30 15mTalk | Qualitative Surveys in Software Engineering Research: Definition, Critical Review, and GuidelinesResearch Methods Journal-first Papers Jorge Melegati Free University of Bozen-Bolzano, Kieran Conboy University of Galway, Daniel Graziotin University of Hohenheim Link to publication DOI | ||
16:45 15mTalk | VulNet: Towards improving vulnerability management in the Maven ecosystemSecurity Journal-first Papers Zeyang Ma Concordia University, Shouvick Mondal IIT Gandhinagar, Tse-Hsun (Peter) Chen Concordia University, Haoxiang Zhang Centre for Software Excellence at Huawei Canada, Ahmed E. Hassan Queen’s University, Zeyang Ma Concordia University | ||
17:00 15mTalk | Energy-Aware Software Testing New Ideas and Emerging Results (NIER) Roberto Verdecchia University of Florence, Emilio Cruciani European University of Rome, Antonia Bertolino Gran Sasso Science Institute, Breno Miranda Centro de Informática at Universidade Federal de Pernambuco Pre-print | ||
17:15 7mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
16:00 - 17:30 | Testing and QA 6Journal-first Papers / Research Track / Demonstrations at 205 Chair(s): Majid Babaei McGill University | ||
16:00 15mTalk | Characterizing Timeout Builds in Continuous Integration Journal-first Papers Nimmi Weeraddana University of Waterloo, Mahmoud Alfadel University of Calgary, Shane McIntosh University of Waterloo | ||
16:15 15mTalk | GeMTest: A General Metamorphic Testing Framework Demonstrations Pre-print | ||
16:30 15mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
16:45 15mTalk | History-Driven Fuzzing for Deep Learning Libraries Journal-first Papers Nima Shiri Harzevili York University, Mohammad Mahdi Mohajer York University, Moshi Wei York University, Hung Viet Pham York University, Song Wang York University | ||
17:00 15mTalk | Towards a Cognitive Model of Dynamic Debugging: Does Identifier Construction Matter? Journal-first Papers Danniell Hu University of Michigan, Priscila Santiesteban University of Michigan, Madeline Endres University of Massachusetts Amherst, Westley Weimer University of Michigan | ||
17:15 15mTalk | Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency Research Track Chijin Zhou Tsinghua University, Quan Zhang Tsinghua University, Bingzhou Qian National University of Defense Technology, Yu Jiang Tsinghua University | ||
16:00 - 17:30 | |||
16:00 15mTalk | EP-Detector: Automatic Detection of Error-prone Operation Anomalies in Android ApplicationsSecurity Research Track Chenkai Guo Nankai University, China, Qianlu Wang College of Cyber Science, Nankai University, Naipeng Dong The University of Queensland, Australia, Lingling Fan Nankai University, Tianhong Wang College of Computer Science, Nankai University, Weijie Zhang College of Computer Science, Nankai University, EnBao Chen College of Cyber Science, Nankai University, Zheli Liu Nankai University, Lu Yu National University of Defense Technology; Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation | ||
16:15 15mTalk | Mobile Application Coverage: The 30% Curse and Ways Forward Research Track Faridah Akinotcho University of British Columbia, Canada, Lili Wei McGill University, Julia Rubin The University of British Columbia Pre-print | ||
16:30 15mTalk | The Design Smells Breaking the Boundary between Android Variants and AOSP Research Track Wuxia Jin Xi'an Jiaotong University, Jiaowei Shang Xi'an Jiaotong University, Jianguo Zheng Xi'an Jiaotong University, Mengjie Sun Xi’an Jiaotong University, Zhenyu Huang Honor Device Co., Ltd., Ming Fan Xi'an Jiaotong University, Ting Liu Xi'an Jiaotong University | ||
16:45 15mTalk | Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps Research Track Yuxin Zhang Tianjin University, Sen Chen Nankai University, Xiaofei Xie Singapore Management University, Zibo Liu College of Intelligence and Computing, Tianjin University, Lingling Fan Nankai University | ||
17:00 15mTalk | TacDroid: Detection of Illicit Apps through Hybrid Analysis of UI-based Transition Graphs Research Track Yanchen Lu Zhejiang University, Hongyu Lin Zhejiang University, Zehua He Zhejiang University, Haitao Xu Zhejiang University, Zhao Li Hangzhou Yugu Technology, Shuai Hao Old Dominion University, Liu Wang Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology, Kui Ren Zhejiang University | ||
17:15 15mTalk | PacDroid: A Pointer-Analysis-Centric Framework for Security Vulnerabilities in Android AppsSecurity Research Track Menglong Chen Nanjing University, Tian Tan Nanjing University, Minxue Pan Nanjing University, Yue Li Nanjing University | ||
16:00 - 17:30 | Security and QAResearch Track / Journal-first Papers / SE In Practice (SEIP) at 210 Chair(s): Nafiseh Kahani Carleton University | ||
16:00 15mTalk | ROSA: Finding Backdoors with FuzzingSecurity Research Track Dimitri Kokkonis Université Paris-Saclay, CEA, List, Michaël Marcozzi Université Paris-Saclay, CEA, List, Emilien Decoux Université Paris-Saclay, CEA List, Stefano Zacchiroli LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France Link to publication DOI Pre-print Media Attached File Attached | ||
16:15 15mTalk | Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on WebsitesSecurity Research Track Mengxia Ren Colorado School of Mines, Anhao Xiang Colorado School of Mines, Chuan Yue Colorado School of Mines | ||
16:30 15mTalk | Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural ModelsSecurityAward Winner Research Track Lizhi Liao Memorial University of Newfoundland, Simon Eismann University of Würzburg, Heng Li Polytechnique Montréal, Cor-Paul Bezemer University of Alberta, Diego Elias Costa Concordia University, Canada, André van Hoorn University of Hamburg, Germany, Weiyi Shang University of Waterloo | ||
16:45 15mTalk | Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic DatasetsSecurity Journal-first Papers Partha Chakraborty University of Waterloo, Krishna Kanth Arumugam University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo, Shane McIntosh University of Waterloo | ||
17:00 15mTalk | Sunflower: Enhancing Linux Kernel Fuzzing via Exploit-Driven Seed Generation SE In Practice (SEIP) Qiang Zhang Hunan University, Yuheng Shen Tsinghua University, Jianzhong Liu Tsinghua University, Yiru Xu Tsinghua University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Wanli Chang College of Computer Science and Electronic Engineering, Hunan University | ||
17:15 15mTalk | Practical Object-Level Sanitizer With Aggregated Memory Access and Custom AllocatorSecurity Research Track Xiaolei wang National University of Defense Technology, Ruilin Li National University of Defense Technology, Bin Zhang National University of Defense Technology, Chao Feng National University of Defense Technology, Chaojing Tang National University of Defense Technology | ||
16:00 - 17:30 | AI for ProcessSE In Practice (SEIP) / Demonstrations / New Ideas and Emerging Results (NIER) at 212 Chair(s): Keheliya Gallaba Centre for Software Excellence, Huawei Canada | ||
16:00 15mTalk | OptCD: Optimizing Continuous Development Demonstrations Talank Baral George Mason University, Emirhan Oğul Middle East Technical University, Shanto Rahman The University of Texas at Austin, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
16:15 15mTalk | LLMs as Evaluators: A Novel Approach to Commit Message Quality Assessment New Ideas and Emerging Results (NIER) Abhishek Kumar Indian Institute of Technology, Kharagpur, Sandhya Sankar Indian Institute of Technology, Kharagpur, Sonia Haiduc Florida State University, Partha Pratim Das Indian Institute of Technology, Kharagpur, Partha Pratim Chakrabarti Indian Institute of Technology, Kharagpur | ||
16:30 15mTalk | Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings SE In Practice (SEIP) Petr Tsvetkov JetBrains Research, Aleksandra Eliseeva JetBrains Research, Danny Dig University of Colorado Boulder, JetBrains Research, Alexander Bezzubov JetBrains, Yaroslav Golubev JetBrains Research, Timofey Bryksin JetBrains Research, Yaroslav Zharov JetBrains Research Pre-print | ||
16:45 15mTalk | Enhancing Differential Testing: LLM-Powered Automation in Release Engineering SE In Practice (SEIP) Ajay Krishna Vajjala George Mason University, Arun Krishna Vajjala George Mason University, Carmen Badea Microsoft Research, Christian Bird Microsoft Research, Robert DeLine Microsoft Research, Jason Entenmann Microsoft Research, Nicole Forsgren Microsoft Research, Aliaksandr Hramadski Microsoft, Sandeepan Sanyal Microsoft, Oleg Surmachev Microsoft, Thomas Zimmermann University of California, Irvine, Haris Mohammad Microsoft, Jade D'Souza Microsoft, Mikhail Demyanyuk Microsoft | ||
17:00 15mTalk | How much does AI impact development speed? An enterprise-based randomized controlled trial SE In Practice (SEIP) Elise Paradis Google, Inc, Kate Grey Google, Quinn Madison Google, Daye Nam Google, Andrew Macvean Google, Inc., Nan Zhang Google, Ben Ferrari-Church Google, Satish Chandra Google, Inc | ||
17:15 15mTalk | Using Reinforcement Learning to Sustain the Performance of Version Control Repositories New Ideas and Emerging Results (NIER) Shane McIntosh University of Waterloo, Luca Milanesio GerritForge Inc., Antonio Barone GerritForge Inc., Jacek Centkowski GerritForge Inc., Marcin Czech GerritForge Inc., Fabio Ponciroli GerritForge Inc. Pre-print | ||
16:00 - 17:30 | AI for Security 3Research Track / New Ideas and Emerging Results (NIER) at 213 Chair(s): Tien N. Nguyen University of Texas at Dallas | ||
16:00 15mTalk | GVI: Guided Vulnerability Imagination for Boosting Deep Vulnerability DetectorsSecurity Research Track Heng Yong Nanjing University, Zhong Li , Minxue Pan Nanjing University, Tian Zhang Nanjing University, Jianhua Zhao Nanjing University, China, Xuandong Li Nanjing University | ||
16:15 15mTalk | Decoding Secret Memorization in Code LLMs Through Token-Level CharacterizationSecurity Research Track Yuqing Nie Beijing University of Posts and Telecommunications, Chong Wang Nanyang Technological University, Kailong Wang Huazhong University of Science and Technology, Guoai Xu Harbin Institute of Technology, Shenzhen, Guosheng Xu Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology | ||
16:30 15mTalk | Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection SolutionsSecurity Research Track Satyaki Das University of Southern California, Syeda Tasnim Fabiha University of Southern California, Saad Shafiq University of Southern California, Nenad Medvidović University of Southern California Pre-print Media Attached File Attached | ||
16:45 15mTalk | Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention InferenceSecurity Research Track Chong Wang Nanyang Technological University, Jianan Liu Fudan University, Xin Peng Fudan University, Yang Liu Nanyang Technological University, Yiling Lou Fudan University | ||
17:00 15mTalk | Weakly-supervised Log-based Anomaly Detection with Inexact Labels via Multi-instance LearningSecurity Research Track Minghua He Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Chiming Duan Peking University, Huaqian Cai Peking University, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University | ||
17:15 7mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
16:00 - 17:30 | |||
16:00 15mTalk | QuanTest: Entanglement-Guided Testing of Quantum Neural Network SystemsQuantum Journal-first Papers Jinjing Shi Central South University, Zimeng Xiao Central South University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Xuelong LI China Telecom Link to publication | ||
16:15 15mTalk | Quantum Approximate Optimization Algorithm for Test Case OptimizationQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University, Paolo Arcaini National Institute of Informatics
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16:30 15mTalk | Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration TestingQuantum Journal-first Papers Peixun Long Institute of High Energy Physics, Chinese Academy of Science, Jianjun Zhao Kyushu University | ||
16:45 15mTalk | Mitigating Noise in Quantum Software Testing Using Machine LearningQuantum Journal-first Papers Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
, Asmar Muqeet Simula Research Laboratory and University of Oslo | ||
17:00 15mTalk | Test Case Minimization with Quantum AnnealingQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
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17:15 7mTalk | When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer ForumsQuantum Research Track Jake Zappin William and Mary, Trevor Stalnaker William & Mary, Oscar Chaparro William & Mary, Denys Poshyvanyk William & Mary | ||
16:00 - 17:30 | SE for AI with Quality 3Research Track / SE In Practice (SEIP) at 215 Chair(s): Sumon Biswas Case Western Reserve University | ||
16:00 15mTalk | Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable ClassificationSE for AI Research Track Sigma Jahan Dalhousie University, Mehil Shah Dalhousie University, Parvez Mahbub Dalhousie University, Masud Rahman Dalhousie University Pre-print | ||
16:15 15mTalk | Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning LibrariesSE for AI Research Track Sehoon Kim , Yonghyeon Kim UNIST, Dahyeon Park UNIST, Yuseok Jeon UNIST, Jooyong Yi UNIST, Mijung Kim UNIST | ||
16:30 15mTalk | Mock Deep Testing: Toward Separate Development of Data and Models for Deep LearningSE for AI Research Track Ruchira Manke Tulane University, USA, Mohammad Wardat Oakland University, USA, Foutse Khomh Polytechnique Montréal, Hridesh Rajan Tulane University | ||
16:45 15mTalk | RUG: Turbo LLM for Rust Unit Test GenerationSE for AI Research Track Xiang Cheng Georgia Institute of Technology, Fan Sang Georgia Institute of Technology, Yizhuo Zhai Georgia Institute of Technology, Xiaokuan Zhang George Mason University, Taesoo Kim Georgia Institute of Technology Pre-print Media Attached File Attached | ||
17:00 15mTalk | Test Input Validation for Vision-based DL Systems: An Active Learning Approach SE In Practice (SEIP) Delaram Ghobari University of Ottawa, Mohammad Hossein Amini University of Ottawa, Dai Quoc Tran SmartInsideAI Company Ltd. and Sungkyunkwan University, Seunghee Park SmartInsideAI Company Ltd. and Sungkyunkwan University, Shiva Nejati University of Ottawa, Mehrdad Sabetzadeh University of Ottawa Pre-print | ||
17:15 15mTalk | SEMANTIC CODE FINDER: An Efficient Semantic Search Framework for Large-Scale Codebases SE In Practice (SEIP) daeha ryu Innovation Center, Samsung Electronics, Seokjun Ko Samsung Electronics Co., Eunbi Jang Innovation Center, Samsung Electronics, jinyoung park Innovation Center, Samsung Electronics, myunggwan kim Innovation Center, Samsung Electronics, changseo park Innovation Center, Samsung Electronics | ||
16:00 - 17:30 | |||
16:00 15mTalk | An Empirical Study of Proxy Smart Contracts at the Ethereum Ecosystem ScaleBlockchain Research Track Mengya Zhang The Ohio State University, Preksha Shukla George Mason University, Wuqi Zhang Mega Labs, Zhuo Zhang Purdue University, Pranav Agrawal George Mason University, Zhiqiang Lin The Ohio State University, Xiangyu Zhang Purdue University, Xiaokuan Zhang George Mason University | ||
16:15 15mTalk | Demystifying and Detecting Cryptographic Defects in Ethereum Smart ContractsBlockchainAward Winner Research Track Jiashuo Zhang Peking University, China, Yiming Shen Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Jianzhong Su Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Jianbo Gao Peking University, Zhong Chen | ||
16:30 15mTalk | Chord: Towards a Unified Detection of Blockchain Transaction Parallelism BugsBlockchain Research Track Yuanhang Zhou Tsinghua University, Zhen Yan Tsinghua University, Yuanliang Chen Tsinghua University, Fuchen Ma Tsinghua University, Ting Chen University of Electronic Science and Technology of China, Yu Jiang Tsinghua University | ||
16:45 15mTalk | Definition and Detection of Centralization Defects in Smart ContractsBlockchain Research Track Zewei Lin Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Jiajing Wu Sun Yat-sen University, Weizhe Zhang Harbin Institute of Technology, Zibin Zheng Sun Yat-sen University | ||
17:00 15mTalk | Fork State-Aware Differential Fuzzing for Blockchain Consensus ImplementationsBlockchain Research Track Won Hoi Kim KAIST, Hocheol Nam KAIST, Muoi Tran ETH Zurich, Amin Jalilov KAIST, Zhenkai Liang National University of Singapore, Sang Kil Cha KAIST, Min Suk Kang KAIST DOI Pre-print | ||
17:15 15mTalk | Code Cloning in Solidity Smart Contracts: Prevalence, Evolution, and Impact on DevelopmentBlockchain Research Track Ran Mo Central China Normal University, Haopeng Song Central China Normal University, Wei Ding Central China Normal University, Chaochao Wu Central China Normal University | ||
Accepted Papers
Call for Papers
The New Ideas and Emerging Results (NIER) track at ICSE provides a vibrant forum for forward-looking, innovative research in software engineering. Our aim is to accelerate the exposure of the software engineering community to early yet potentially ground-breaking research results, and to techniques and perspectives that challenge the status quo in the discipline.
Scope
NIER invites innovative, groundbreaking new ideas supported by promising initial results, such as:
- Forward-looking ideas: exciting new directions or techniques that may have yet to be supported by solid experimental results, but are nonetheless supported by strong and well-argued scientific intuitions or preliminary results as well as concrete plans going forward.
- Thought-provoking reflections: bold and unexpected results and reflections that can help us look at current research directions under a new light, calling for new directions for future research.
A NIER track paper is not just a scaled-down version of an ICSE full research track paper. The NIER track is reserved for first-class, top-quality technical contributions. Therefore, a NIER submission is neither an ICSE full research track submission with weaker or no evaluation nor an op-ed piece advertising existing and already published results. Authors of such submissions should instead consider submitting to one of the many satellite events of ICSE.
Evaluation Criteria
Each submission will be reviewed and evaluated in terms of the following quality criteria:
- Impact: The significance and potential impact of the research. The potential of the research to disrupt the current practice.
- Novelty: The novelty and innovativeness of contributed solutions, problem formulations, methodologies, and/or theories, i.e., the extent to which the paper is sufficiently original with respect to the state of the art.
- Relevance: The relevance of the research to the field of software engineering.
- Clarity: The soundness, clarity, and depth of a technical or theoretical contribution, as well as the level of thoroughness and completeness in defining future plans for completing the research.
- Presentation: The quality of the exposition in the paper.
Reviewers will carefully consider all of the above criteria during the review process, and authors should take great care in clearly addressing them all.
Submission Instructions
All submissions to the ICSE 2025 NIER track must conform to the following instructions:
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The submissions must not exceed 4 pages for the main text, inclusive of all figures, tables, appendices, etc. An extra page is allowed for references only. The page limit is strict, and it will not be possible to purchase additional pages at any point in the process (including after the paper is accepted).
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Each submission to the ICSE 2025 NIER track needs to include a section titled “Future Plans” where the authors outline the work they plan on doing to turn their new ideas and emerging results into a full-length paper in the future.
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All submissions must be in PDF.
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Submissions must strictly conform to the IEEE conference proceedings template, specified in the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf options). Alterations of spacing, font size, and other changes that deviate from the instructions may result in desk rejection without further review.
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The ICSE 2025 NIER track will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. The authors must make every effort to honor the double-anonymous review process. In particular:
- Authors’ names must be omitted from the submission.
- All references to the author’s prior work should be in the third person.
- While authors have the right to upload preprints on ArXiV or similar sites, they must avoid specifying that the manuscript was submitted to ICSE 2025.
Further advice, guidance, and explanation about the double-anonymous review process can be found on the Q&A page.
Submission Policies
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By submitting to the ICSE NIER track, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. In particular, papers submitted to ICSE 2025 must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ICSE 2025. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.
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If the research involves human participants/subjects, the authors must adhere to the ACM Publications Policy on Research Involving Human Participants and Subjects. Upon submitting, authors will declare their compliance with such a policy. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
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Submissions must follow the latest IEEE Submission and Peer Review Policy and ACM Policy on Authorship (with associated FAQ, which includes a policy regarding the use of generative AI tools and technologies, such as ChatGPT.
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The ICSE 2025 NIER track is aligned with the ICSE 2025 Open Science policies. The guiding principle is that, wherever relevant, all research results, artifacts, and data should be accessible to the public. For additional guidelines, see the Open Science Policy of the Research Track and the Q&A page.
Submission Process
Submissions shall be made through NIER submission site https://icse2025-nier.hotcrp.com/ by the submission deadline. Any submission that does not comply with the submission instructions may be desk rejected without further review.
Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM and IEEE have been involved in ORCID and may collect ORCID IDs from all published authors. We are committed to improving author discoverability, ensuring proper attribution and contributing to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
Important Dates
- Submissions Deadline: October 10, 2024
- Acceptance Notification: December 11, 2024
- Camera Ready: January 15, 2025
All dates are 23:59:59 AoE (UTC-12h).
Conference Attendance Expectation
If a submission is accepted, at least one author of the paper is required to register for ICSE 2025 and present the paper. We are assuming that the conference will be in-person, and if it is virtual or hybrid, virtual presentations may be possible. These matters will be discussed with the authors closer to the date of the conference.
Accepted Papers
The following papers have been accepted in the ICSE 2025 NIER Track. The papers are will be published by the IEEE and appear in the IEEE and ACM digital libraries, subject to an author submitting their camera-ready and copyright forms, and registering to attend the conference. (Authors are required to present the papers at the conference, otherwise they will be withdrawn).
Finn Hackett, Ivan Beschastnikh, "Listening to the Firehose: Sonifying Z3’s Behavior"
Abstract: Modern formal methods rely heavily on Satisfiability Modulo Theory (SMT) solvers like Z3. Unfortunately, these solvers are complex, have unpredictable runtime behavior, and are highly sensitive to the structure of the input query. As a result, when a Z3 query runs for hours and times out, there is little that an end-user can do to figure out what went wrong. They can attempt to inspect the gigabytes of logged information that these tools produce every minute. But, no existing tool provides a broad understanding of Z3 behavior. We propose Z3Hydrant, a scalable approach that converts Z3 logs into sound. By relying on the innate abilities of the human ear to pick out patterns, Z3Hydrant encodes raw Z3 logs into an audio stream. The result is accessible to anyone who can hear and helps to provide a general flavor of what occurred during a particular run. We describe our approach and include several example audio files that capture complex Z3 runs.
Tags: "Formal methods", "Analysis"Fengjie Li, Jiajun Jiang, Jiajun Sun, Hongyu Zhang, "Evaluating the Generalizability of LLMs in Automated Program Repair"
Abstract: LLM-based automated program repair methods have attracted significant attention for their state-of-the-art performance. However, they were primarily evaluated on a few well-known datasets like Defects4J, raising questions about their effectiveness on new datasets. In this study, we evaluate 11 top-performing LLMs on DEFECTS4J-TRANS, a new dataset derived from transforming Defects4J while maintaining fault semantics. Results from experiments on both Defects4J and DEFECTS4J-TRANS show that all studied LLMs have limited generalizability in APR tasks, with average correct and plausible patches decreasing by 49.48% and 42.90%, respectively, on DEFECTS4J-TRANS. Further investigation into incorporating additional repair-relevant information in repair prompts reveals that, although this information signigicantly enhances the LLMs’ capabilities (increasing correct and plausible patches by up to 136.67% and 121.82%, respectively), performance still falls short of their original dataset results. This indicates that prompt engineering alone is insufficient to substantially enhance LLMs’ repair capabilities. According our study, we also offer several recommendations for future research.
Tags: "Testing and Quality", "AI for SE", "Analysis/Repair"Paschal C. Amusuo, Parth V. Patil, Owen Cochell, Taylor Le Lievre, James C. Davis, "A Unit Proofing Framework for Code-level Verification: A Research Agenda"
Abstract: Formal verification provides mathematical guarantees that a software is correct. Design-level verification tools ensure software specifications are correct, but they do not expose defects in actual implementations. For this purpose, engineers use code-level tools. However, such tools struggle to scale to large software. The process of "Unit Proofing" mitigates this by decomposing the software and verifying each unit independently. We examined AWS's use of unit proofing and observed that current approaches are manual and prone to faults that mask severe defects. We propose a research agenda for a unit proofing framework, both methods and tools, to support software engineers in applying unit proofing effectively and efficiently. This will enable engineers to discover code-level defects early.
Tags: "Formal methods", "Testing and Quality", "Design/Architecture"Zijie Huang, Lizhi Cai, Xuan Mao, Kang Yang, "Towards Early Warning and Migration of High-Risk Dormant Open-Source Software Dependencies"
Abstract: Dormant open-source software (OSS) dependencies are no longer maintained or actively developed, their related code components are more vulnerable and error-prone since they can hardly keep up with evolving software dependents. Presently, their migration remains costly and challenging for practitioners. To tackle such a challenge, we intend to characterize, predict, and automatically migrate high-risk dormant OSS dependencies. Our pilot study of 4,945 Maven dependencies reveals over half of them are dormant, and 12.15% pose a high security risk. These high-risk dependencies can be predicted early based on their version release and usage characteristics. They are rarely migrated by developers, and simple one-to-one API migrations can be achieved with little context using Large Language Models (LLMs). Future research will be conducted on a more complete dataset, incorporate socio-technical features for improved high-risk prediction, and fine-tune a migration code generator.
Tags: "Security", "AI for SE", "MSR", "Open Source"Marc North, Amir Atapour-Abarghouei, Nelly Bencomo, "Beyond Syntax: How Do LLMs Understand Code?"
Abstract: Within software engineering research, Large Language Models (LLMs) are often treated as 'black boxes', with only their inputs and outputs being considered. In this paper, we take a machine interpretability approach to examine how LLMs internally represent and process code. We focus on variable declaration and function scope, training classifier probes on the residual streams of LLMs as they process code written in different programming languages to explore how LLMs internally represent these concepts across different programming languages. We also look for specific attention heads that support these representations and examine how they behave for inputs of different languages. Our results show that LLMs have an understanding — and internal representation — of \emph{language-independent} coding semantics that goes beyond the syntax of any specific programming language, using the same internal components to process code, regardless of the programming language that the code is written in. Furthermore, we find evidence that these language-independent semantic components exist in the middle layers of LLMs and are supported by language-specific components in the earlier layers that parse the syntax of specific languages and feed into these later semantic components. Finally, we discuss the broader implications of our work, particularly in relation to concerns that AI, with its reliance on large datasets to learn new programming languages, might limit innovation in programming language design. By demonstrating that LLMs have a language-independent representation of code, we argue that LLMs may be able to flexibly learn the syntax of new programming languages while retaining their semantic understanding of universal coding concepts. In doing so, LLMs could promote creativity in future programming language design, providing tools that augment rather than constrain the future of software engineering.
Tags: "AI for SE", "MSR"Andreas Vogelsang, Alexander Korn, Giovanna Broccia, Alessio Ferrari, Jannik Fischbach, Chetan Arora, "On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability"
Abstract: Large language models (LLMs) are increasingly used to generate software artifacts, such as source code, tests, and trace links. Requirements play a central role as they are often used as part of the prompts to synthesize the artifacts. However, the impact of requirements formulation on LLM performance remains unclear. In this paper, we investigate the role of requirements smells-indicators of potential issues like ambiguity and inconsistency-when used in prompts for LLMs. We conducted experiments using two LLMs focusing on automated trace link generation between requirements and code. Our results show mixed outcomes: while requirements smells had a small but significant effect when predicting whether a requirement was implemented in a piece of code (i.e., a trace link exists), no significant effect was observed when tracing the requirements with the associated lines of code. These findings suggest that requirements smells can affect LLM performance in certain SE tasks but may not uniformly impact all tasks. We highlight the need for further research to understand these nuances and propose future work toward developing guidelines for mitigating the negative effects of requirements smells in AI-driven SE processes.
Tags: "Requirements", "AI for SE"Andreas Vogelsang, Alexander Korn, Giovanna Broccia, Alessio Ferrari, Jannik Fischbach, Chetan Arora, "On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability"
Abstract: Large language models (LLMs) are increasingly used to generate software artifacts, such as source code, tests, and trace links. Requirements play a central role as they are often used as part of the prompts to synthesize the artifacts. However, the impact of requirements formulation on LLM performance remains unclear. In this paper, we investigate the role of requirements smells-indicators of potential issues like ambiguity and inconsistency-when used in prompts for LLMs. We conducted experiments using two LLMs focusing on automated trace link generation between requirements and code. Our results show mixed outcomes: while requirements smells had a small but significant effect when predicting whether a requirement was implemented in a piece of code (i.e., a trace link exists), no significant effect was observed when tracing the requirements with the associated lines of code. These findings suggest that requirements smells can affect LLM performance in certain SE tasks but may not uniformly impact all tasks. We highlight the need for further research to understand these nuances and propose future work toward developing guidelines for mitigating the negative effects of requirements smells in AI-driven SE processes.
Tags: "Requirements", "AI for SE"Istvan David, "SusDevOps: Promoting Sustainability to a First Principle in Software Delivery"
Abstract: Sustainability is becoming a key property of modern software systems. While there is a substantial and growing body of knowledge on engineering sustainable software, end-to-end frameworks that situate sustainability-related activities within the software delivery lifecycle are missing. In this article, we propose the SusDevOps framework that promotes sustainability to a first principle within a DevOps context. We demonstrate the lifecycle phases and techniques of SusDevOps through the case of a software development startup company.
Tags: "Process", "Sustainability", "DevOps"Liangying Shao, Yanfu Yan, Denys Poshyvanyk, Jinsong Su, "UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation"
Abstract: Deep learning-based code generation has completely transformed the way developers write programs today. Existing approaches to code generation have focused either on the Sequence-to-Sequence paradigm, which generates target code as a sequence of tokens, or the Sequence-to-Tree paradigm, which outputs code as a sequence of actions. While these two paradigms are intuitively complementary, their combination has not been previously explored. By comparing the code generated under these two paradigms, we find that integrating them holds significant potential. In this paper, we propose UniGenCoder for code-related generation tasks, which consists of a shared encoder, a shared decoder with a minimal set of additional parameters to unify two paradigms, and a selector that dynamically chooses optimal paradigm for each instance. Also, during the model training, we first perform the multi-task learning and distillation strategies to facilitate knowledge transfer between two paradigms, and then leverage contrastive learning to train the selector. Experimental results on the text-to-code and code-to-code generation tasks demonstrate the effectiveness of our proposed model. We will release our code upon acceptance.
Tags: "AI for SE"Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, Xiangfeng Wang, "SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation"
Abstract: The Satisfiability (SAT) problem is a core challenge with significant applications in software engineering, including automated testing, configuration management, and program verification. This paper presents SolSearch, a novel framework that harnesses large language models (LLMs) to automatically discover and optimize SAT-solving strategies. Leveraging a curriculum-based, trial-and-error process, SolSearch enables the LLM to iteratively modify and generate SAT solver code, thereby improving solving efficiency and performance. This automated SAT solving paradigm has the advantage of being plug-and-play, allowing integration with any SAT solver and accelerating the development or design process of new SAT solvers (new methods). Our preliminary experimental results are encouraging by demonstrating that the LLM-powered paradigm not only improves state-of-the-art SAT solvers on general SAT benchmarks but also significantly enhances the performance of the widely used Z3 solver (11\% on PAR-2 score). These results highlight the potential for using LLM-driven methods to advance solver adaptability and effectiveness in real-world software engineering challenges. Future research directions are discussed to further refine and validate this approach, offering a promising avenue for integrating AI with traditional software engineering tasks.
Tags: "Formal methods", "AI for SE"Alejandro Velasco, Daniel Rodriguez-Cardenas, David N. Palacio, Lutfar Rahman Alif, Denys Poshyvanyk, "How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study"
Abstract: Large Language Models (LLMs) have shown significant potential in automating software engineering tasks, particularly in code generation. However, current evaluation benchmarks, which primarily focus on accuracy, fall short in assessing the quality of the code generated by these models, specifically their tendency to produce code smells. To address this limitation, we introduce CodeSmellEval, a benchmark designed to evaluate the propensity of LLMs for generating code smells. Our benchmark includes a novel metric: Propensity Smelly Score (PSC), and a curated dataset of method-level code smells: CodeSmellData. To demonstrate the use of CodeSmellEval, we conducted a case study with two state-of-the-art LLMs, CodeLlama and Mistral. The results reveal that both models tend to generate code smells, such as simplifiable-condition and consider-merging-isinstance. These findings highlight the effectiveness of our benchmark in evaluating LLMs, providing valuable insights into their reliability and their propensity to introduce code smells in code generation tasks.
Tags: "AI for SE", "Testing and Quality"Long Doan, ThanhVu (Vu) Nguyen, "AI-Assisted Autoformalization of Combinatorics Problems in Proof Assistants"
Abstract: Proof assistants such as Coq and \textsf{LEAN} have been increasingly used by renowned mathematicians to formalize and prove mathematical theorems. Despite their growing use, writing formal proofs is challenging, as it requires a deep understanding of these systems' languages. Recent advancements in AI, especially LLMs, have shown promise in automating this formalization task. However, domains such as combinatorics pose significant challenges for AI-assisted proof assistant systems due to their cryptic nature and the lack of existing data to train AI models. We introduce \textsf{AutoForm4Lean}, a system designed to leverage LLMs to aid in formalizing combinatorics problems for \textsf{LEAN}. By combining LLM power with SE/FM techniques such as synthesis and validation, \textsf{AutoForm4Lean} generates formalizations of combinatorics problems more effectively than current state-of-the-art LLMs. Moreover, this project seeks to provide a comprehensive collection of formalized combinatorics problems, theorems and lemmas, which would enrich the \textsf{LEAN} library and provide valuable training data for LLMs. Preliminary results demonstrate the effectiveness of \textsf{AutoForm4Lean} in formalizing combinatorics problems in \textsf{LEAN}, making a step forward in AI-based theorem proving.
Tags: "Formal methods", "AI for SE"Benedikt Steininger, Chrysanthi Papamichail, David Stark, Dejan Nickovic, Alessio Gambi, "Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions"
Abstract: Testing autonomous vehicles (AV) software, which is currently done using simulations, requires the availability of various content, such as terrains and maps, to instantiate relevant scenarios. Manually generating such content is time-consuming, and current approaches for procedural content generation struggle to handle user requirements. Consequently, the limited availability of content strongly affects AV testing effectiveness. To address this problem, we present RoadGPT, the first generative AI approach that generates focused scenarios by translating user requirements in natural language into three-dimensional road models. RoadGPT leverages OpenAI foundational large language model (LLM) ChatGPT to interpret user descriptions and the physically accurate driving simulation BeamNG.tech to generate the corresponding driving simulations. Our initial evaluation, which includes a focused user study with experts in the AV testing domain, confirmed the ability of RoadGPT to generate roads matching user-defined descriptions and highlighted venues for future improvements. We believe that RoadGPT can become an essential component in AV testing and can extended to create other relevant testing environments, such as parking spaces.
Tags: "AI for SE", "Real-Time", "Testing and Quality"Shane McIntosh, Luca Milanesio, Antonio Barone, Jacek Centkowski, Marcin Czech, Fabio Ponciroli, "Using Reinforcement Learning to Sustain the Performance of Version Control Repositories"
Abstract: Although decentralized Version Control Systems (VCSs) like Git support several organizational structures, a central copy of the repository is typically where development activity is coalesced and where official software releases are produced. Due to growth in team size and the popularity of monolithic repositories (a.k.a., "monorepos") that span entire organizations, central repositories are being strained. Remedial actions that devops engineers take, such as performing garbage collection routines, can backfire because they are computationally expensive and if run at an inopportune moment, may degrade repository performance or even cause the host to crash. To sustain the performance of VCSs under production workloads, we propose a reinforcement learning agent that can take remedial actions. Since a large quantity of VCS activity is needed to train the agent, we first augment the VCS to enable a greater throughput, observing that the augmented VCS outperforms the stock VCS to a large, statistically significant degree. Then, we compare the performance that a central VCS can sustain when the agent is applied against a schedule-based garbage collection policy and a no-action baseline, observing 64 to 82-fold improvements in the Area Under the Curve (AUC) that plots repository performance over time. This paper takes a promising first step towards automatically sustaining the performance of VCSs under heavy production workloads.
Tags: "Process", "AI for SE"Nimrod Busany, Hananel Hadad, Zofia Maszlanka, Rohit Shelke, Gregory Price, Okhaide Akhigbe, Daniel Amyot, "Optimizing Experiment Configurations for LLM Applications Through Exploratory Analysis"
Abstract: The integration of Large Language Models (LLMs) into software applications necessitates informed design choices across various configurations, including LLM selection, prompting techniques, and their parameters, and prompt templates. Many of these choices are arbitrary, and developers often lack guidance on optimizing configurations. In this work, we define the Experiment Configuration Optimization Problem and illustrate it with a real-world Text-to-SQL application we developed. Our results show that most configurations are sub-optimal, with only a few offering a favorable trade-off between accuracy and cost. Highlighting the critical need for systematic exploration, we show that extensive experimentation is expensive, underscoring the importance for cost-effective methods to navigate the configuration space. Our findings motivate further research into methodologies that effectively optimize LLM application configurations.
Tags: "SE for AI", "Design/Architecture"Roberto Verdecchia, Emilio Cruciani, Antonia Bertolino, Breno Miranda, "Energy-Aware Software Testing"
Abstract: Our planet urges for a more responsible use of its resources, and since information technology contributes substantially to the global energy consumption, software engineering research has promptly embraced this request and is actively working towards more sustainable processes. An indispensable activity in software development is testing, which is known to be very costly in terms of time and effort. On top of this, a recent study by Zaidman has shown that software testing can be a voracious energy consumer as well. In this work we introduce the very concept of energy-aware testing as the adoption of ad hoc strategies that can help reduce the energy consumption of existing practices. We discuss some possible strategies and, as an example, we conduct a first study of an energy-aware variant of a simple similarity-based test prioritization approach, which provides evidence of perceptible savings. We encourage future research in energy-aware software testing that need to address further studies and to think up more strategies.
Tags: "Testing and Quality", "Green / Environmental SE"Yang Yue, Yi Wang, David Redmiles, "Discovering Ideologies of the Open Source Software Movement"
Abstract: Encompassing a diverse population of developers, non-technical users, and other stakeholders, open source software (OSS) development has expanded to broader social movements from the initial product development aims. Ideology, as a coherent system of ideas, offers value commitments and normative implications for any social movement, so do OSS ideologies for the open source movement. However, the SE literature on OSS ideology is often fragmented or lacks empirical evidence. We sought to develop a comprehensive empirical framework of OSS ideology. Following a grounded theory procedure, we collected and analyzed data from 22 OSS practitioners and 41 video recordings of Open Source Initiative (OSI) board members' public narratives. A framework of OSS ideology emerged in our analysis, with six key categories: membership, norms/values, goals, activities, resources, and positions/group relations; each consists of several themes. With this ideological lens, we discussed the implications and insights into the research and practice of open source development.
Tags: "Human/Social", "Process", "Open Source"Nate Levin, Chengpeng Li, Yule Zhang, August Shi, Wing Lam, "Takuan: Using Dynamic Invariants To Debug Order-Dependent Flaky Tests"
Abstract: Automated regression testing is critical to effective software development, but it suffers from flaky tests, i.e., tests that can nondeterministically pass or fail when run on the same version of code. Conceptually, a flaky test depends on a component not controlled by the code, where the test's outcome depends on the state of that component. For example, one prominent category of flaky tests are order-dependent (OD) tests, whose outcomes depend on the order in which they are run (where the order is not guaranteed), as a result of some other test “polluting” shared state. We propose the use of dynamic invariants to help debug flaky tests. By capturing the dynamic invariants that hold true during a passing execution of the flaky test and comparing them against those captured during a failing execution, we can isolate the reason for the flaky behavior. To illustrate the potential of using dynamic invariants for this task, we implement Takuan, a technique for debugging OD tests by analyzing differences in dynamic invariants collected between passing and failing runs for the OD tests. The invariants that hold true in a passing order but not in a failing order indicate the “clean” value of the shared state that makes the test pass. We further illustrate how these invariants can be used to even repair OD tests by developing automated approaches that use the invariants as inputs to then search for methods that can reset the shared state back to the desired “clean” state. Takuan's ability to analyze polluted shared state that is external to the program (e.g., in the file system) allows it to handle cases that prior work could not. We conduct a preliminary study of Takuan on existing OD tests and find that our approach has promising results.
Tags: "Testing and Quality", "Analysis"Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu, "Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework"
Abstract: LLM-powered coding and development assistants have become prevalent to programmers’ workflows. However, concerns about the trustworthiness of LLMs for code persist despite their widespread use. Much of the existing research focused on either training or evaluation, raising questions about whether stakeholders in training and evaluation align in their understanding of model trustworthiness and whether they can move toward a unified direction. In this paper, we propose a vision for a unified trustworthiness auditing framework, DataTrust, which adopts a data-centric approach that synergistically emphasizes both training and evaluation data and their correlations. DataTrust aims to connect model trustworthiness indicators in evaluation with data quality indicators in training. It autonomously inspects training data and evaluates model trustworthiness using synthesized data, attributing potential causes from specific evaluation data to corresponding training data and refining indicator connections. Additionally, a trustworthiness arena powered by DataTrust will engage crowdsourced input and deliver quantitative outcomes. We outline the benefits that various stakeholders can gain from DataTrust and discuss the challenges and opportunities it presents.
Tags: "AI for SE", "SE for AI"Yuanjun Gong, Fabio Massacci, "When in Doubt Throw It out: Building on Confident Learning for Vulnerability Detection"
Abstract: [Context:] Confident learning's intuition is that a good model can be used to identify mislabelled data. By swapping mislabeled samples that are not confidently predicted, the performance of model can be further improved. [Problem:] Unfortunately, vulnerability detectors are generally under-performing models and confidence learning would conclude that the bulk of the dataset is mislabelled. [New Idea:] We extend confidence learning by identifying a type of training samples that appear in presence of under-performing models: \emph{confusing samples}. [Emerging Result:] We analyze the formal constraints for confusing samples and perform preliminary experiments that show that the model's performance is effectively improved after \emph{deleting} confusing samples entirely from the training set.
Tags: "SE for AI"Abhishek Kumar, Sandhya Sankar, Sonia Haiduc, Partha Pratim Das, Partha Pratim Chakrabarti, "LLMs as Evaluators: A Novel Approach to Commit Message Quality Assessment"
Abstract: Evaluating the quality of commit messages is a challenging task in software engineering. Existing evaluation approaches, such as automatic metrics like BLEU, ROUGE and METEOR, as well as manual human assessments have notable limitations. Automatic metrics often overlook semantic relevance and context, while human evaluations are time consuming and costly. To address these challenges, we explore the potential of using Large Language Models (LLMs) as an alternative method for commit message evaluation. We conducted two tasks using state-of-the-art LLMs, GPT-4o, LLaMA 3.1 (70B and 8B), and Mistral Large, to assess their capability in evaluating commit messages. Our findings show that LLMs can effectively identify relevant commit messages and align well with human judgment, demonstrating their potential to serve as reliable automated evaluators. This study provides a new perspective on utilizing LLMs for commit message assessment, paving the way for scalable and consistent evaluation methodologies in software engineering.
Tags: "AI for SE", "Process"Clay Stevens, Katherine Kjeer, Ryan Richard, Edward Valeev, Myra B. Cohen, "Model Assisted Refinement of Metamorphic Relations for Scientific Software"
Abstract: Ensuring the correctness of scientific software is challenging due to the need to represent and model complex phenomenon in a discrete form. Many dynamic approaches for correctness have been developed for numerical overflow or imprecision, which may manifest as program crashes or hangs. Less effort has been spent on functional correctness, where one of the most widely proposed technique is metamorphic testing. Metamorphic testing often requires deep domain expertise to design meaningful relations. In this vision paper we ask if we can utilize the process of abstraction and refinement, a traditionally formal approach, to guide the development of metamorphic relations. We have built an iterative approach we call Model Assisted Refinements (or MARS). It starts with domain-agnostic relations and a set of input-output relations created via a dynamic analysis. We then use a model checker to identify missing input/output patterns and potential passing and failing relations. We augment our dynamic analysis, and obtain domain expertise to verify and refine our relations. At the end we have a set of domain-specific metamorphic relations and test cases. We demonstrate our approach on a high-performance chemistry library. Within three refinements we discover several domain specific relations, and increase our behavioral coverage.
Tags: "Scientific SW", "Formal methods", "Testing and Quality"Robin Kimmel, Judith Michael, Andreas Wortmann, Jingxi Zhang, "Digital Twins for Software Engineering Processes"
Abstract: Digital twins promise a better understanding and use of complex systems. To this end, they represent these systems at their runtime and may interact with them to control their processes. Software engineering is a wicked challenge in which stakeholders from many domains collaborate to produce software artifacts together. In the presence of skilled software engineer shortage, our vision is to leverage DTs as means for better representing, understanding, and optimizing software engineering processes to (i) enable software experts making the best use of their time and (ii) support domain experts in producing high-quality software. This short manuscript lays out why this would be beneficial, how such a digital twin could look like, and what is missing towards realizing and deploying software engineering digital twins.
Tags: "Human/Social", "Process"Maria Camporese, Fabio Massacci, "Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’t"
Abstract: [Context:] The acceptance of candidate patches in automated program repair has been typically based on testing oracles. Testing requires typically a costly process of building the application while ML models can be used to quickly classify patches, thus allowing more candidate patches to be generated in a positive feedback loop. [Problem:] If the model predictions are unreliable (as in vulnerability detection) they can hardly replace the more reliable oracles based on testing. [New Idea:] We propose to use an ML model as a preliminary filter of candidate patches which is put in front of a traditional filter based on testing. [Preliminary Results:] We identify some theoretical bounds on the precision and recall of the ML algorithm that makes such operation meaningful in practice. With these bounds and the results published in the literature, we calculate how fast some of state-of-the-art vulnerability detectors must be to be more effective over a traditional AVR pipeline such as APR4Vuln based just on testing.
Tags: "Analysis/Repair", "AI for SE", "Testing and Quality"Nitish Patkar, Aimen Fahmi, Timo Kehrer, Norbert Seyff, "What is a Feature, Really? Toward a Unified Understanding Across SE Disciplines"
Abstract: In software engineering, the concept of a ``feature'' is frequently used, yet inconsistently defined across disciplines like requirements engineering (RE) and software product lines (SPL). This inconsistency often leads to communication gaps, rework, and project inefficiencies. To address these challenges, this paper presents an empirical, data-driven approach to explore how features are described, implemented, and managed across real-world projects, starting with open-source software (OSS). By analyzing feature-related branches in OSS repositories, we identify patterns in contributor behavior, feature implementation, and project management activities. Our findings reveal distinct patterns in feature branch activity, offering actionable insights into improving project planning, resource allocation, and coordination across teams. We propose a roadmap for advancing feature-related research, focusing on key research questions that aim to unify the understanding of features across software engineering disciplines. This research has the potential to inform both academic inquiry and practical strategies for improving feature planning, resource allocation, and development workflows in diverse project environments.
Tags: "Requirements", "Design/Architecture", "Process", "Open Source"Important Dates AoE (UTC-12h)
| Wed 15 Jan 2025 Camera Ready |
| Wed 11 Dec 2024 Acceptance Notification |
| Thu 10 Oct 2024 Submissions Deadline |
Julia RubinNew Ideas and Emerging Results Co-Chair
The University of British Columbia
Canada
Barbora Buhnova † 2024New Ideas and Emerging Results Co-Chair
Masaryk University
Czechia
Adriana Sejfia
University of Edinburgh
United Kingdom
Andre van der Hoek
University of California, Irvine
United States
Antonia Bertolino
Gran Sasso Science Institute
Italy
Armstrong Foundjem
École Polytechnique de Montréal
Canada
Bihuan Chen
Fudan University
China
Birgit Penzenstadler
Chalmers University of Technology and University of Gothenburg
United States
Brittany Johnson
George Mason University
United States
Bruno Rossi
Masaryk University
Caitlin Sadowski
Cristian Cadar
Imperial College London
United Kingdom
Dalal Alrajeh
Imperial College London
United Kingdom
Eduardo Santana de Almeida
Federal University of Bahia
Elena Navarro
University of Castilla-La Mancha
Spain
Elisa Yumi Nakagawa
University of São Paulo
Brazil
Fatemeh Hendijani Fard
Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Okanagan Campus
Canada
Federica Sarro
University College London
United Kingdom
Guido Salvaneschi
University of St. Gallen
Switzerland
Hausi Müller
University of Victoria
Canada
Houari Sahraoui
DIRO, Université de Montréal
Canada
Ivan Beschastnikh
University of British Columbia
Canada
Jacob Krüger
Eindhoven University of Technology
Netherlands
Jan Bosch
Chalmers University of Technology
Sweden
Jianjun Zhao
Kyushu University
Japan
Leopoldo Teixeira
Federal University of Pernambuco
Brazil
Letizia Jaccheri
Norwegian University of Science and Technology (NTNU)
Norway
Lili Wei
McGill University
Canada
Lucia Happe
Karlsruhe Institute of Technology
Germany
Margaret-Anne Storey
University of Victoria
Mariam Guizani
Queen's University, Canada
Canada
Marsha Chechik
University of Toronto
Canada
Marvin Wyrich
Saarland University
Germany
Mary Lou Soffa
University of Virginia
Maxime Cordy
University of Luxembourg, Luxembourg
Milos Gligoric
The University of Texas at Austin
United States
Myra Cohen
Iowa State University
United States
Nimrod Busany
Accenture Labs
Israel
Norman Peitek
Saarland University
Germany
Oscar Chaparro
William & Mary
United States
Paulo Borba
Federal University of Pernambuco
Brazil
Philipp Leitner
Chalmers | University of Gothenburg
Sweden
Prem Devanbu
University of California at Davis
United States
Rangeet Pan
IBM Research
United States
Rui Abreu
Faculty of Engineering of the University of Porto, Portugal
Portugal
Sebastiano Panichella
University of Bern
Switzerland
Shaukat Ali
Simula Research Laboratory and Oslo Metropolitan University
Norway
Sridhar Chimalakonda
Indian Institute of Technology Tirupati
India
Stanislav Chren
Aalto University
Finland
Swaroopa Dola
University of Virginia
Valentina Lenarduzzi
University of Oulu
Finland
Vittorio Cortellessa
University of L'Aquila
Waqar Hussain
CSIRO DATA61
Australia
Wing Lam
George Mason University
United States
Xiaofei Xie
Singapore Management University
Singapore
Yang Feng
Nanjing University
China
Yi Li
Nanyang Technological University
Singapore
Yvonne Dittrich
IT University of Copenhagen, Denmark
Zhenhao Li
York University
Canada