HaPy-Bug -- Human Annotated Python Bug Resolution Dataset
Fuente:
arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866917979124400128 |
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| author | Przymus, Piotr Fejzer, Mikołaj Narębski, Jakub Woźniak, Radosław Halada, Łukasz Kazecki, Aleksander Molchanov, Mykhailo Stencel, Krzysztof |
| author_facet | Przymus, Piotr Fejzer, Mikołaj Narębski, Jakub Woźniak, Radosław Halada, Łukasz Kazecki, Aleksander Molchanov, Mykhailo Stencel, Krzysztof |
| contents | We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. The annotations offer insights into the purpose of modified files, changes at the line level, and reviewers' confidence levels. We analyze HaPy-Bug to examine the distribution of file purposes, types of modifications, and tangled changes. Additionally, we explore its potential applications in bug tracking, the analysis of bug-fixing practices, and the development of repository analysis tools. HaPy-Bug serves as a valuable resource for advancing research in software maintenance and security. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_04810 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HaPy-Bug -- Human Annotated Python Bug Resolution Dataset Przymus, Piotr Fejzer, Mikołaj Narębski, Jakub Woźniak, Radosław Halada, Łukasz Kazecki, Aleksander Molchanov, Mykhailo Stencel, Krzysztof Software Engineering We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. The annotations offer insights into the purpose of modified files, changes at the line level, and reviewers' confidence levels. We analyze HaPy-Bug to examine the distribution of file purposes, types of modifications, and tangled changes. Additionally, we explore its potential applications in bug tracking, the analysis of bug-fixing practices, and the development of repository analysis tools. HaPy-Bug serves as a valuable resource for advancing research in software maintenance and security. |
| title | HaPy-Bug -- Human Annotated Python Bug Resolution Dataset |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2504.04810 |