A dataset comprised of various files, such as CSV or Excel spreadsheets, notebooks, and code in R, pre-computed results as RDS, etc.

This package contains items for 9 real-world software projects. The data is supposed to aid the detection of the presence of the Fire Drill anti-pattern. We include 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:

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).