SSL Metrics - Defect density of a github repository.
Project description
Software Systems Laboratory Metrics GitHub Issue Density
A
python
tool to calculate the issue density of a GitHub repository
Table of Contents
About
The Software Systems Laboratory (SSL) GitHub Issue Density Project is a python
tool to calculate the issue density of a GitHub repository. It is reliant upon the output of the GitHub Issue and Git Commits tools.
This project is licensed under the BSD-3-Clause. See the LICENSE for more information.
Developer Tooling
To maximize the utility of this project and the greater SSL Metrics project, the following software packages are required:
Operating System
All tools developed for the greater SSL Metrics project must target Mac OS and Linux. SSL Metrics software is not supported or recommended to run on Windows but can be modified to do so at your own risk.
It is recomendded to develop on Mac OS or Linux. However, if you are on a Windows machine, you can use WSL to develop as well.
How To Use
Installation
You can install the tool via pip
with either of the two following one-liners:
pip install --upgrade pip ssl-metrics-meta
pip install --upgrade pip ssl-metrics-github-issue-density
Command Line Arguements
ssl-metrics-github-issue-density-compute -h
options:
-h, --help show this help message and exit
-c COMMITS, --commits COMMITS
Commits JSON file
-i ISSUES, --issues ISSUES
Issues JSON file
-o OUTPUT, --output OUTPUT
output JSON file
ssl-metrics-github-issue-density-graph -h
options:
-h, --help show this help message and exit
-i INPUT, --input INPUT
The input data file that will be read to create the graphs
-o OUTPUT, --output OUTPUT
The filename to output the bus factor graph to
-m MAXIMUM_DEGREE_POLYNOMIAL, --maximum-degree-polynomial MAXIMUM_DEGREE_POLYNOMIAL
Estimated maximum degree of polynomial
-r REPOSITORY_NAME, --repository-name REPOSITORY_NAME
Name of the repository that is being analyzed
--x-window-min X_WINDOW_MIN
The smallest x value that will be plotted
--x-window-max X_WINDOW_MAX
The largest x value that will be plotted
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