Pull Request (PR) is used in github for the contribution of code from thousands of developers in millions of repository. PR reviewing is an essential activity in software development to maintain the quality of software projects. When a developer contributes to a project by submitting PR, the maintainer of the project needs to deal with it by taking all the opinions of reviewers into consideration and merging into the main branch. It is a time-consuming process especially when the project is large. The time between the submission of the PR and reviewing the PR can be reduced if we can assign new open PRs to appropriate reviewers. However, this feature is not available in Github. To this extent, we have purposed a reviewer recommendation system, which predicts the highly relevant reviewers for the forthcoming open PRs. Our method combines the topic modeling and social network analysis taking full advantage of the textual semantic of historical PRs and social relationships between developers. This project provides a python script that takes an input of the repository name and the new open PR ID to find the potential reviewers from the crowd of developers. It can reach up to 83% of average accuracy for the top 5 recommended reviewers.

The requirements.txt file includes most of the libraries used this project. However, it doesn't include common libraries. You might need to install it manually.

pip install -r .\requirements.txt

python grr_cli.py --repo=[REPO] --opr=[OPEN_PULL_REQUEST_ID] --simthres=[0.2] --prlimit=[NUMBER_OF_CLOSED_PRS_TO_USE]

• --repo: Name of repository to use (Repo with sufficient PRs preferable). If not provided, sveltejs/svelte is used as default repository.
• --opr: Open PR ID to get the recommendation. If not provided random open PR is used.
• --simthres: The threshold value to select % of closed PRs in the result. If not provided value of 0.2 is used.
• --prlimit: Number of closed PRs to use for topic modeling and social network analysis. If not provided all closed PRs in repository is used.

python grr_cli.py

python grr_cli.py --repo=mrdoob/three.js

python grr_cli.py --repo=mrdoob/three.js --opr=19266

python grr_cli.py --repo=mrdoob/three.js --opr=19266 --simthres=0.3

python grr_cli.py --repo=mrdoob/three.js --opr=19266 --simthres=0.3 --prlimit=1000

grr.ipynb: It is a one block script in notebook.

notebook/grr_notebook.ipynb: It is a scipt with several block that walk you through the process of recommendation.Also, It provides graph visualization, plots, and results in each steps.

It is highly recommended that you generate your own github token and edit on the scipts. Github has set a limit to the number of API requests per hour. You might experience this problem frequently when same token from the repository is used.

ACCESS_TOKEN = <ACCESS_TOKEN_FROM_GITHUB>