arXiv · 2504.04810
HaPy-Bug -- Human Annotated Python Bug Resolution Dataset
Abstract
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.
Explore related subjects
Keep this discovery
Piotr Przymus, Mikołaj Fejzer, Jakub Narębski, Radosław Woźniak, Łukasz Halada, Aleksander Kazecki, Mykhailo Molchanov, Krzysztof Stencel. 2025-04-07. HaPy-Bug -- Human Annotated Python Bug Resolution Dataset. https://arxiv.org/abs/2504.04810
Cite the original work for its findings. Save a collection to share your selection of sources.