Hotspots

Files that are both large and changed often are where bugs tend to cluster and where refactoring pays off first. Each file in the current tree is placed by its size and by the number of commits that changed it; its hotspot score is changes × √lines. Files without counted lines, such as binary files, are left out.

Files Analyzed

216

of 221 in the current tree

Top 10 Files

25.3%

of the total hotspot score

Median File Size

251 lines

half of the files are at least this large

Median Changes

1 commit

half of the files changed at least this often

Change frequency by file size

Each dot is a file; a bigger dot is a higher score. The dashed lines mark the median file size and the median number of changes, so the large files that change often are in the top right. Both axes are logarithmic.

Top hotspots

The files ranked by hotspot score: the larger a file is and the more often it changes, the higher it ranks. Authors is how many people have changed the file, bots aside, as on the Code Ownership page: a hotspot only one person has changed is also a bus-factor risk.