Skip to content
/ schwa Public
forked from andrefreitas/schwa

A tool that analyzes GIT Repositories and estimates the defect probability of Software components to help developers focusing their resources to fix bugs where they really are.

License

Notifications You must be signed in to change notification settings

jose/schwa

 
 

Repository files navigation

Alt text

Build Status Codacy Badge PyPI version Join the chat at https://gitter.im/andrefreitas/schwa License

A tool that analyzes GIT Repositories and estimates the defect probability of Software components to help developers focusing their resources to fix bugs where they really are. We are currently supporting method granularity for Java.

Schwa is under heavy development as a Master Thesis and is only available as pre-release on the Python Package Index.

Install

Install Python3 and pip first and then:

pip3.4 install schwa --pre

or

python3.4 setup.py install

Usage

Command line:

usage: schwa [-h] [--commits COMMITS] repository

Predicts defects from GIT repositories.

positional arguments:
  repository         repository full path on local file system

optional arguments:
  -h, --help         show this help message and exit
  --commits COMMITS  maximum number of commits, since the last one, to be
                     analyzed

Importing class:

from schwa import Schwa
s = Schwa("git/repo/path")
analytics = s.analyze()

Configuration file

You can configure Schwa parameters using a YAML file. Just place a .schwa.yml file in the root of the repository and use this example:

commits: 20 # maximum commits
features_weights: # sum must be 1
  revisions: 0.3
  fixes: 0.5
  authors: 0.2

Test

Run nosetests

Contributing

Join the mailing list at https://groups.google.com/forum/#!forum/schwa

Requirements

  1. Install Python 3.4 and pip
  2. Install Git
  3. Run pip3.4 install -r requirements.txt
  4. Install Pycharm

Guidelines

  • Write tests first using TDD approach
  • Document important modules, functions and classes
  • Use Google Python Style Guide and PEP8 Style Guide
  • Use Pycharm debugger to kill bugs faster
  • Contribute to documentation
  • Use good design patterns

Documentation

Project documentation is available in the Wiki. Please read it to get familiar with the project.

License

Copyright (c) 2015 Faculty of Engineering of the University of Porto

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

About

A tool that analyzes GIT Repositories and estimates the defect probability of Software components to help developers focusing their resources to fix bugs where they really are.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • TeX 63.3%
  • Python 34.7%
  • JavaScript 1.2%
  • Makefile 0.6%
  • Smarty 0.1%
  • Sass 0.1%