This package contains artifacts for 15 real-world software projects. The data is supposed to aid the detection of the presence of the Fire Drill anti-pattern. We include original data, ground truth, code (experimental setups and models), and notebooks. The data supports two distinct methods of detecting the AP: a) through issue-tracking data, and b) through the underlying source code. This version of the dataset corresponds to v8 of the technical report and the GitHub repository. The package includes the following: Original data: For each project, its original artifacts (e.g., wikis, meeting minutes, mentor's notes, etc.) Evaluation of raters' notes by the assessor 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: Four 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).

The repository for the source code based method is at: https://github.com/MrShoenel/anti-pattern-models