ICSE 2024 (series) / MSR 2024 (series) / Data and Tool Showcase Track /
GitBugs-Java: A Reproducible Java Benchmark of Recent Bugs
Mon 15 Apr 2024 11:52 - 11:56 at Grande Auditório - Defects, Bugs and Issues Chair(s): Wesley Assunção
Bug-fix benchmarks are essential for evaluating methodologies in automatic program repair (APR) and fault localization (FL). However, existing benchmarks, exemplified by Defects4J, need to evolve to incorporate recent bug-fixes aligned with contemporary development practices. Moreover, reproducibility, a key scientific principle, has been lacking in bug-fix benchmarks. To address these gaps, we present GitBugs-Java, a reproducible benchmark of recent Java bugs. GitBugs-Java features 200 bugs extracted from the 2023 commit history of 55 notable open-source repositories. The methodology for building GitBugs-Java ensures the preservation of bug-fixes in fully-reproducible environments. We publish GitBugs-Java at https://github.com/gitbugactions/gitbugs-java.
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
11:00 - 12:30 | Defects, Bugs and IssuesTechnical Papers / MSR Awards / Social Events / Tutorials / Data and Tool Showcase Track / Mining Challenge / Registered Reports / Industry Track / MIP Award / Vision and Reflection / Keynotes at Grande Auditório Chair(s): Wesley Assunção North Carolina State University | ||
11:00 12mTalk | Enhancing Performance Bug Prediction Using Performance Code Metrics Technical Papers Guoliang Zhao Computer Science of Queen's University, Stefanos Georgio , Safwat Hassan University of Toronto, Canada, Ying Zou Queen's University, Kingston, Ontario, Derek Truong IBM Canada, Toby Corbin IBM UK | ||
11:12 12mTalk | CrashJS: A NodeJS Benchmark for Automated Crash Reproduction Technical Papers Philip Oliver Victoria University of Wellington, Jens Dietrich Victoria University of Wellington, Craig Anslow Victoria University of Wellington, Michael Homer Victoria University of Wellington | ||
11:24 12mTalk | An Empirical Study on Just-in-time Conformal Defect Prediction Technical Papers Xhulja Shahini paluno - University of Duisburg-Essen, Andreas Metzger University of Duisburg-Essen, Klaus Pohl | ||
11:36 12mTalk | Fine-Grained Just-In-Time Defect Prediction at the Block Level in Infrastructure-as-Code (IaC) Technical Papers Mahi Begoug , Moataz Chouchen ETS, Ali Ouni ETS Montreal, University of Quebec, Eman Abdullah AlOmar Stevens Institute of Technology, Mohamed Wiem Mkaouer University of Michigan - Flint | ||
11:48 4mTalk | TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs Data and Tool Showcase Track Kaibo Liu Peking University, Yudong Han Peking University, Yiyang Liu Peking University, Zhenpeng Chen Nanyang Technological University, Jie M. Zhang King's College London, Federica Sarro University College London, Gang Huang Peking University, Yun Ma Peking University | ||
11:52 4mTalk | GitBugs-Java: A Reproducible Java Benchmark of Recent Bugs Data and Tool Showcase Track André Silva KTH Royal Institute of Technology, Nuno Saavedra INESC-ID and IST, University of Lisbon, Martin Monperrus KTH Royal Institute of Technology | ||
11:56 4mTalk | A Dataset of Partial Program Fixes Data and Tool Showcase Track Dirk Beyer LMU Munich, Lars Grunske Humboldt-Universität zu Berlin, Matthias Kettl LMU Munich, Marian Lingsch-Rosenfeld LMU Munich, Moeketsi Raselimo Humboldt-Universität zu Berlin | ||
12:00 4mTalk | BugsPHP: A dataset for Automated Program Repair in PHP Data and Tool Showcase Track K.D. Pramod University of Moratuwa, Sri Lanka, W.T.N. De Silva University of Moratuwa, Sri Lanka, W.U.K. Thabrew University of Moratuwa, Sri Lanka, Ridwan Salihin Shariffdeen National University of Singapore, Sandareka Wickramanayake University of Moratuwa, Sri Lanka Pre-print | ||
12:04 4mTalk | AW4C: A Commit-Aware C Dataset for Actionable Warning Identification Data and Tool Showcase Track Zhipeng Liu , Meng Yan Chongqing University, Zhipeng Gao Shanghai Institute for Advanced Study - Zhejiang University, dong li , Xiaohong Zhang Chongqing University, Dan Yang Chongqing University | ||
12:08 5mTalk | Predicting the Impact of Crashes Across Release Channels Industry Track | ||
12:13 5mTalk | Zero Shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis Industry Track | ||