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ICSE 2023
Sun 14 - Sat 20 May 2023 Melbourne, Australia
Wed 17 May 2023 12:15 - 12:30 at Meeting Room 103 - Fault localization Chair(s): Rui Abreu

A large number of bug reports are created during the evolution of a software system. Locating the source code files that need to be changed in order to fix these bugs is a challenging task. Information retrieval-based bug localization techniques do so by correlating bug reports with historical information about the source code (e.g., previously resolved bug reports, commit logs). These techniques have shown to be efficient and easy to use. However, one flaw that is nearly omnipresent in all these techniques is that they ignore code refactorings. Code refactorings are common during software system evolution, but from the perspective of typical version control systems, they break the code history. For example, a class when renamed then appears as two separate classes with separate histories. Obviously, this is a problem that affects any technique that leverages code history. This paper proposes a refactoring-aware traceability model to keep track of the code evolution history. With this model, we reconstruct the code history by analyzing the impact of code refactorings to correctly stitch together what would otherwise be a fragmented history. To demonstrate that a refactoring aware history is indeed beneficial, we investigated three widely adopted bug localization techniques that make use of code history. Our evaluation on 11 open source projects shows that taking code refactorings into account significantly improves the results of these bug localization techniques without significant changes to the techniques themselves. The more refactorings are used in a project, the stronger the benefit we observed. Based on our findings, we believe that much of the state-of-the-art leveraging code history should benefit from our work.

RAT: A Refactoring-Aware Traceability Model for Bug Localization (2023027846.pdf)624KiB

Wed 17 May

Displayed time zone: Hobart change

11:00 - 12:30
Fault localizationJournal-First Papers / Technical Track / Showcase at Meeting Room 103
Chair(s): Rui Abreu University of Porto
11:00
15m
Talk
Evaluating the Impact of Experimental Assumptions in Automated Fault Localization
Technical Track
Ezekiel Soremekun Royal Holloway, University of London, Lukas Kirschner Saarland University, Marcel Böhme MPI-SP, Germany and Monash University, Australia, Mike Papadakis University of Luxembourg, Luxembourg
Pre-print Media Attached
11:15
15m
Talk
Locating Framework-specific Crashing Faults with Compact and Explainable Candidate Set
Technical Track
Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, MiaoMiao Wang Technology Center of Software Engineering, ISCAS, China. University of Chinese Academy of Sciences, China., Yepang Liu Southern University of Science and Technology, Jun Yan Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Long Zhang Institute of Software, Chinese Academy of Sciences
Pre-print
11:30
15m
Talk
PExReport: Automatic Creation of Pruned Executable Cross-Project Failure Reports
Technical Track
Sunzhou Huang University of Texas at San Antonio, Xiaoyin Wang University of Texas at San Antonio
Pre-print Media Attached
11:45
15m
Talk
Bug localization in game software engineering: evolving simulations to locate bugs in software models of video games
Showcase
Rodrigo Casamayor SVIT Research Group. Universidad San Jorge, Lorena Arcega San Jorge University, Francisca Pérez SVIT Research Group, Universidad San Jorge, Carlos Cetina San Jorge University, Spain
DOI
12:00
7m
Talk
Real World Projects, Real Faults: Evaluating Spectrum Based Fault Localization Techniques on Python Projects
Journal-First Papers
Ratnadira Widyasari Singapore Management University, Singapore, Gede Artha Azriadi Prana Singapore Management University, Stefanus Agus Haryono Singapore Management University, Shaowei Wang University of Manitoba, David Lo Singapore Management University
12:07
7m
Talk
Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis
Journal-First Papers
Ming Wen Huazhong University of Science and Technology, Zifan Xie Huazhong University of Science and Technology, Kaixuan Luo Huazhong University of Science and Technology, Xiao Chen Huazhong University of Science and Technology, Yibiao Yang Nanjing University, Hai Jin Huazhong University of Science and Technology
12:15
15m
Talk
RAT: A Refactoring-Aware Traceability Model for Bug Localization
Technical Track
Feifei Niu University of Ottawa, Wesley Assunção Johannes Kepler University Linz, Austria & Pontifical Catholic University of Rio de Janeiro, Brazil, Liguo Huang Southern Methodist University, Christoph Mayr-Dorn JOHANNES KEPLER UNIVERSITY LINZ, Jidong Ge Nanjing University, Bin Luo Nanjing University, Alexander Egyed Johannes Kepler University Linz
File Attached