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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.
Licensing
This project is licensed under the BSD-3-Clause. See the LICENSE for more information.
How To Use
Installation
You can install the tool via pip with either of the two following one-liners:
pip install --upgrade pip clime-metrics
pip install --upgrade pip clime-issue-density
Command Line Arguements
clime-issue-density-compute -h
usage: CLIME Issue Density [-h] [-c COMMITS] [-i ISSUES] [-o OUTPUT] [-v]
A tool to calculate the issue density of a repository
options:
-h, --help show this help message and exit
-c COMMITS, --commits COMMITS
Commits JSON file. DEFAULT: ./commits_loc.json
-i ISSUES, --issues ISSUES
Issues JSON file. DEFAULT: ./github_issues.json
-o OUTPUT, --output OUTPUT
Output JSON file. DEFAULT: ./issue_density.json
-v, --version Display version of the tool
Author(s): Nicholas M. Synovic, Matthew Hyatt, Sohini Thota, George K.
Thiruvathukal
clime-issue-density-graph -h
usage: CLIME Issue Density Grapher [-h] [-i INPUT] [-o OUTPUT] [--type TYPE]
[--title TITLE] [--x-label X_LABEL]
[--y-label Y_LABEL]
[--stylesheet STYLESHEET] [-v]
A tool to graph the issue density of a repository
options:
-h, --help show this help message and exit
-i INPUT, --input INPUT
JSON export from CLIME GitHub Issue Density Compute.
DEFAULT: ./issue_density.json
-o OUTPUT, --output OUTPUT
Filename of the graph. DEFAULT: ./issue_density.pdf
--type TYPE Type of figure to plot. DEFAULT: line
--title TITLE Title of the figure. DEFAULT: ""
--x-label X_LABEL X axis label of the figure. DEFAULT: ""
--y-label Y_LABEL Y axis label of the figure. DEFAULT: ""
--stylesheet STYLESHEET
Filepath of matplotlib stylesheet to use. DEFAULT: ""
-v, --version Display version of the tool
Author(s): Nicholas M. Synovic, Matthew Hyatt, Sohini Thota, George K.
Thiruvathukal
About
A tool to calculate the issue density of a Git repository by analyzing the issues of a project in its issue tracker