Fire Drill Anti-Pattern Dataset

Fire Drill Anti-Pattern Dataset is a collection of nine real-world software projects for detection of the fire drill anti-pattern with ground truth, issue-tracking data, source code density, models and code. The data is supposed to aid the detection of the presence of the Fire Drill anti-pattern. It includes data, ground truth, code, and notebooks. The data supports two distinct methods of detecting the AP: a) through issue-tracking data, and b) through the underlying source code. Therefore, this package includes the following:

Fire Drill in issue-tracking data:

• Ground truth for whether and how strong each project exhibits the Fire Drill AP, on a scale from [0,10]. This was determined by two individual raters, who also reached a consensus.
• Coefficients for indicators for the first method, per project.
• Detailed issue-tracing data for each project: what occurred and when.
• Time logs for each project.

Fire Drill in source-code data:

• Three technical reports that document the developed method of how to translate a description into a detectable pattern, and to use the pattern to detect the presence and to score it (similar to the rating). Also includes a report for how activities were assigned to individual commits.
• Source code density data (metrics) for each commit in each of the nine projects as a separate dataset.
• Code: a snapshot of the repository that holds all code, models, notebooks, and pre-computed results, for utmost reproducibility (the code is written in R).