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- W4322759735 abstract "Bug localization is an important aspect of software maintenance because it can locate modules that need to be changed to fix a specific bug. Although method-level bug localization is helpful for developers, there are only a few tools and techniques for this task; moreover, there is no large-scale framework for their evaluation. In this paper, we present FinerBench4BL, an evaluation framework for method-level information retrieval-based bug localization techniques, and a comparative study using this framework. This framework was semi-automatically constructed from Bench4BL, a file-level bug localization evaluation framework, using a repository transformation approach. We converted the original file-level version repositories provided by Bench4BL into method-level repositories by repository transformation. Method-level data components such as oracle methods can also be automatically derived by applying the oracle generation approach via bug-commit linking in Bench4BL to the generated method repositories. Furthermore, we tailored existing file-level bug localization technique implementations at the method level. We created a framework for method-level evaluation by merging the generated dataset and implementations. The comparison results show that the method-level techniques decreased accuracy whereas improved debugging efficiency compared to file-level techniques." @default.
- W4322759735 created "2023-03-03" @default.
- W4322759735 creator A5020874890 @default.
- W4322759735 creator A5039363184 @default.
- W4322759735 creator A5066400160 @default.
- W4322759735 date "2023-02-27" @default.
- W4322759735 modified "2023-09-24" @default.
- W4322759735 title "Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL" @default.
- W4322759735 doi "https://doi.org/10.48550/arxiv.2302.14293" @default.
- W4322759735 hasPublicationYear "2023" @default.
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