Table of Contents

• BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software SystemsTrevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk. [doi]
• Toward Improved Deep Learning-based Vulnerability DetectionAdriana Sejfia, Satyaki Das, Saad Shafiq, Nenad Medvidovic. [doi]
• How to Support ML End-User Programmers through a Conversational AgentEmily Judith Arteaga Garcia, João Felipe Nicolaci Pimentel, Zixuan Feng, Marco Aurélio Gerosa, Igor Steinmacher, Anita Sarma. [doi]
• On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationJunayed Mahmud, Nadeeshan De Silva, Safwat Ali Khan, Seyed Hooman Mostafavi, S. M. Hasan Mansur 0001, Oscar Chaparro, Andrian Marcus, Kevin Moran. [doi]
• LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log DataXiaoyun Li, Hongyu Zhang, Van-Hoang Le, Pengfei Chen 0002. [doi]
• A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and ChallengesJenny T. Liang, Chenyang Yang 0002, Brad A. Myers. [doi]
• Revealing Hidden Threats: An Empirical Study of Library Misuse in Smart ContractsMingyuan Huang, Jiachi Chen, Zigui Jiang, Zibin Zheng. [doi]
• VeRe: Verification Guided Synthesis for Repairing Deep Neural NetworksJianan Ma, Pengfei Yang, Jingyi Wang, Youcheng Sun, Cheng-Chao Huang, Zhen Wang. [doi]
• CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained ModelsHao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie. [doi]
• A Comprehensive Study of Learning-based Android Malware Detectors under Challenging EnvironmentsCuiying Gao, Gaozhun Huang, Heng Li 0005, Bang Wu, Yueming Wu, Wei Yuan. [doi]
• FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level FuzzingAniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu. [doi]
• It's Not a Feature, It's a Bug: Fault-Tolerant Model Mining from Noisy DataFelix Wallner, Bernhard K. Aichernig, Christian Burghard. [doi]
• Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability DetectionBenjamin Steenhoek, Hongyang Gao, Wei Le. [doi]
• Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing DataMartin Tappler, Andrea Pferscher, Bernhard K. Aichernig, Bettina Könighofer. [doi]
• Attention! Your Copied Data is Under Monitoring: A Systematic Study of Clipboard Usage in Android AppsYongliang Chen, Ruoqin Tang, Chaoshun Zuo, Xiaokuan Zhang, Lei Xue 0001, Xiapu Luo, Qingchuan Zhao. [doi]
• Resource Usage and Optimization Opportunities in Workflows of GitHub ActionsIslem Bouzenia, Michael Pradel. [doi]
• Semantic Analysis of Macro Usage for PortabilityBrent Pappas, Paul Gazzillo. [doi]
• Co-Creation in Fully Remote Software TeamsVictoria Jackson, Rafael Prikladnicki, André van der Hoek. [doi]
• DEMISTIFY: Identifying On-device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile AppsPengcheng Ren, Chaoshun Zuo, Xiaofeng Liu, Wenrui Diao, Qingchuan Zhao, Shanqing Guo. [doi]
• Marco: A Stochastic Asynchronous Concolic ExplorerJie Hu, Yue Duan, Heng Yin 0001. [doi]
• Reorder Pointer Flow in Sound Concurrency Bug PredictionYuqi Guo, Shihao Zhu, Yan Cai 0001, Liang He, Jian Zhang. [doi]
• Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous VehiclesNeelofar, Aldeida Aleti. [doi]
• Detecting Logic Bugs in Graph Database Management Systems via Injective and Surjective Graph Query TransformationYuancheng Jiang, Jiahao Liu, Jinsheng Ba, Roland H. C. Yap, Zhenkai Liang, Manuel Rigger. [doi]
• Predicting Performance and Accuracy of Mixed-Precision Programs for Precision TuningYutong Wang, Cindy Rubio-González. [doi]
• Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical StudyQi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen 0001, Xin Peng 0001. [doi]
• ECFuzz: Effective Configuration Fuzzing for Large-Scale SystemsJunqiang Li, Senyi Li, Keyao Li, Falin Luo, Hongfang Yu, Shanshan Li, Xiang Li. [doi]
• SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving SystemsJiarun Dai, Bufan Gao, Mingyuan Luo, Zongan Huang, Zhongrui Li, Yuan Zhang, Min Yang. [doi]
• EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal LearningLiuqing Chen, Yunnong Chen, Shuhong Xiao, Yaxuan Song, Lingyun Sun, Yankun Zhen, Tingting Zhou, Yanfang Chang. [doi]
• Characterizing Software Maintenance Meetings: Information Shared, Discussion Outcomes, and Information CapturedAdriana Meza Soria, Taylor Lopez, Elizabeth Seero, Negin Mashhadi, Emily Evans, Janet E. Burge, André van der Hoek. [doi]
• Fine-SE: Integrating Semantic Features and Expert Features for Software Effort EstimationYue Li, Zhong Ren, Zhiqi Wang, Lanxin Yang, Liming Dong 0001, Chenxing Zhong, He Zhang 0001. [doi]
• Deeply Reinforcing Android GUI Testing with Deep Reinforcement LearningYuanhong Lan, Yifei Lu, Zhong Li, Minxue Pan, Wenhua Yang 0001, Tian Zhang 0001, Xuandong Li. [doi]
• Large Language Models for Test-Free Fault LocalizationAidan Z. H. Yang, Claire Le Goues, Ruben Martins, Vincent J. Hellendoorn. [doi]
• UniLog: Automatic Logging via LLM and In-Context LearningJunjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang 0006, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang. [doi]
• Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence ReasoningPingchuan Ma 0004, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren 0001. [doi]
• Modularizing while Training: A New Paradigm for Modularizing DNN ModelsBinhang Qi, Hailong Sun 0001, Hongyu Zhang 0002, Ruobing Zhao, Xiang Gao. [doi]
• Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in DeploymentShibbir Ahmed, Hongyang Gao, Hridesh Rajan. [doi]
• Block-based Programming for Two-Armed Robots: A Comparative StudyFelipe Fronchetti, Nico Ritschel, Logan Schorr, Chandler Barfield, Gabriella Chang, Rodrigo Spinola, Reid Holmes, David C. Shepherd. [doi]
• Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) SpecificationsAriel Gorenstein, Shahar Maoz, Jan Oliver Ringert. [doi]
• BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input RepairingWai-Kin Wong, Huaijin Wang, Zongjie Li, Shuai Wang. [doi]
• Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context LearningMingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang 0001, Ge Li 0001, Zhi Jin, Xiaoguang Mao, Xiangke Liao. [doi]
• DocFlow: Extracting Taint Specifications from Software DocumentationMarcos Tileria, Jorge Blasco, Santanu Kumar Dash 0001. [doi]
• RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network FairnessTianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang 0001, Aishan Liu, Qing Guo, Yang Liu. [doi]
• LibvDiff: Library Version Difference Guided OSS Version Identification in BinariesChaopeng Dong, Siyuan Li, Shouguo Yang, Yang Xiao 0011, Yongpan Wang, Hong Li, Zhi Li, Limin Sun. [doi]
• Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning LibrariesYinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang 0001. [doi]
• Practical Program Repair via Preference-based Ensemble StrategyWenkang Zhong, Chuanyi Li, Kui Liu 0001, Tongtong Xu, JiDong Ge, Tegawendé F. Bissyandé, Bin Luo 0003, Vincent Ng 0001. [doi]
• ITER: Iterative Neural Repair for Multi-Location PatchesHe Ye, Martin Monperrus. [doi]
• Demystifying Compiler Unstable Feature Usage and Impacts in the Rust EcosystemChenghao Li, Yifei Wu, Wenbo Shen, Zichen Zhao, Rui Chang, Chengwei Liu, Yang Liu, Kui Ren 0001. [doi]
• On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the PastAlexander Lill, André N. Meyer, Thomas Fritz 0001. [doi]
• Predicting open source contributor turnover from value-related discussions: An analysis of GitHub issuesJack Jamieson, Naomi Yamashita, Eureka Foong. [doi]
• How do Developers Talk about GitHub Actions? Evidence from Online Software Development CommunityYang Zhang, Yiwen Wu, Tingting Chen, Tao Wang, Hui Liu, Huaimin Wang. [doi]
• FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate RepresentationsChangan Niu, Chuanyi Li, Vincent Ng 0001, David Lo 0001, Bin Luo 0003. [doi]
• Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, Benjamin Livshits. [doi]
• Do Automatic Test Generation Tools Generate Flaky Tests?Martin Gruber, Muhammad Firhard Roslan, Owain Parry, Fabian Scharnböck, Phil McMinn, Gordon Fraser 0001. [doi]
• CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack TraceYuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang 0009, Chunyang Chen, Yuanzhe Hu, Qing Wang. [doi]
• TRACED: Execution-aware Pre-training for Source CodeYangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray. [doi]
• KnowLog: Knowledge Enhanced Pre-trained Language Model for Log UnderstandingLipeng Ma, Weidong Yang, Bo Xu, Sihang Jiang, Ben Fei, Jiaqing Liang, Mingjie Zhou, Yanghua Xiao. [doi]
• Prompting Is All You Need: Automated Android Bug Replay with Large Language ModelsSidong Feng, Chunyang Chen. [doi]
• Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type ErrorsYun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu. [doi]
• EDEFuzz: A Web API Fuzzer for Excessive Data ExposuresLianglu Pan, Shaanan Cohney, Toby Murray, Van-Thuan Pham. [doi]
• PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)Ruichao Liang, Jing Chen, Kun He 0008, Yueming Wu, Gelei Deng, RuiYing Du, Cong Wu 0003. [doi]
• Learning-based Widget Matching for Migrating GUI Test CasesYakun Zhang, Wenjie Zhang 0007, Dezhi Ran, Qihao Zhu, Chengfeng Dou, Dan Hao 0001, Tao Xie 0001, Lu Zhang 0023. [doi]
• NuzzleBug: Debugging Block-Based Programs in ScratchAdina Deiner, Gordon Fraser 0001. [doi]
• Unveiling the Life Cycle of User Feedback: Best Practices from Software PractitionersZe Shi Li, Nowshin Nawar Arony, Kezia Devathasan, Manish Sihag, Neil A. Ernst, Daniela E. Damian. [doi]
• Toward Automatically Completing GitHub WorkflowsAntonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta. [doi]
• Novelty Begets Popularity, But Curbs Participation - A Macroscopic View of the Python Open-Source EcosystemHongbo Fang, James D. Herbsleb, Bogdan Vasilescu. [doi]
• Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly DetectionBoxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He. [doi]
• Improving Testing Behavior by Gamifying IntelliJPhilipp Straubinger, Gordon Fraser 0001. [doi]
• Object Graph ProgrammingAditya Thimmaiah, Leonidas Lampropoulos, Christopher J. Rossbach, Milos Gligoric 0001. [doi]