Bugspots is a Python implementation of the bug prediction algorithm used at Google. It also embed a command-line interface which can be used to list the "hot spots" of a Git repository.
A hot spot is merely a file that is bug-prone.
The algorithm is very simple and to the point: it gives each file a score based
on its number of bug-fixing commits and their age, and then return a
descending-ordered list of the files based on their score, filtering commits
that are no longer at
Any commit whose purpose is to fix an issue. They are identified by message, using the same pattern as GitHub, which is:
where ti is the timestamp of the i*th commit, normalized between 0 and 1 (0 being the date of the first commit in the repository and 1 being the date of the last commit in the repository), and *n is the number of bug-fixing commits.
$ pip install bugspots
$ bugspots.py -h
import bugspots b = bugspots.Bugspots() for hotspot in b.get_hotspots(): print " %6.3f %s" % (hotspot.score, hotspot.filename)