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 HEAD
.
Any commit whose purpose is to fix an issue. They are identified by message, using the same pattern as GitHub, which is:
(?i)(fix(e[sd])?|close[sd]?) #[1-9][0-9]*
where ti is the timestamp of the ith 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)