During the last few years, GitHub has emerged as a popular project hosting, mirroring and collaboration platform. A unique characteristic of Github is the way it facilitates and automates the submission of patches through forks and pull requests. Different projects employ different processes to accept and analyze pull requests, which leads to very different patterns of pull request usage. (missing reference) (missing reference) (missing reference) has identified several weakness on how pull requests are being handled by projects.

The purpose of this project is to develop with tools that will help developers evaluate, prioritize and apply pull requests, based on machine learning and automatic content classification algorithms.


  1. The open source score card

  2. Analyzing pull requests on Github