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PyBugHive offline dump (part 1)

<p>This is the part 1 of the offline version of PyBugHive. More information can be found <a href="https://pybughive.github.io/">here</a>.</p> <p>&nbsp;</p> <p><strong>PyBugHive</strong> is a benchmark of <strong>149</strong> <strong>real, manually validated bugs</strong> from <strong>11</strong> Python projects.</p> <p>Detailed Bugs</p> <p>Each entry in our database contains the summary of the <strong>bug report</strong>, the <strong>corresponding patch</strong>, and the <strong>test cases</strong> that expose the given bug and the necessary commands to <strong>setup the environment</strong> and <strong>execute the test cases</strong>.</p> <p>Rich Interface</p> <p><strong>PyBugHive</strong> features a <strong>rich command line interface</strong> for <strong>accessing the buggy and fixed versions</strong> of the programs and <strong>provides the abstraction</strong> for executing the corresponding test cases. The interface facilitates highly reproducible <strong>empirical research and tool comparisons</strong> in fields such as <strong>testing, automated program repair, or bug prediction</strong>.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics