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https://github.com/sprt/pybugspots
PoC implementation of Google's bug prediction algorithm in Python (see http://goo.gl/YXbe5r)
https://github.com/sprt/pybugspots
Last synced: about 2 months ago
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PoC implementation of Google's bug prediction algorithm in Python (see http://goo.gl/YXbe5r)
- Host: GitHub
- URL: https://github.com/sprt/pybugspots
- Owner: sprt
- License: isc
- Created: 2016-03-30T14:06:40.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2016-03-30T14:08:24.000Z (almost 9 years ago)
- Last Synced: 2024-10-25T23:56:11.633Z (2 months ago)
- Language: Python
- Size: 15.6 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG
- License: COPYING
Awesome Lists containing this project
README
# bugspots
## What is bugspots?
Bugspots is a Python implementation of
[the bug prediction algorithm used at Google][1].
It also embed a command-line interface which can be used to list the "hot spots"
of a Git repository.[1]: http://google-engtools.blogspot.com/2011/12/bug-prediction-at-google.html
### What is a hot spot?
A hot spot is merely a file that is bug-prone.
## How does it work?
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`.### What is a bug-fixing commit?
Any commit whose purpose is to fix an issue. They are identified by message,
using [the same pattern as GitHub][2], which is:(?i)(fix(e[sd])?|close[sd]?) #[1-9][0-9]*
[2]: https://github.com/blog/831-issues-2-0-the-next-generation
### What is the formula used?
![`\textrm{score}{\left(i\right)}=\sum_{i=0}^n\frac{1}{1+e^{\left(-12t_i+12\right)}}`][3]
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.[3]: http://goo.gl/Uoave
## Installation
$ pip install bugspots
## Command-line usage
$ bugspots.py -h
## Python example
```python
import bugspots
b = bugspots.Bugspots()
for hotspot in b.get_hotspots():
print " %6.3f %s" % (hotspot.score, hotspot.filename)
```