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SSL Metrics - Git Productivity

Project description

Software Systems Laboratory Git Productivity Project

A tool to calculate the productivity of a repository based off of committer information

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Table of Contents

About

The Software Systems Laboratory (SSL) Git Productivity Project is a tool to calculate the productivyt metric of a git repository.

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 this tool with one of the following one liners:

  • pip install --upgrade pip ssl-metrics-meta
  • pip install --upgrade pip ssl-metrics-git-productivity

Shell Commands

ssl-metrics-git-productivity-compute -h

options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        JSON file containing data formatted by ssl-metrics-git-commits-loc-extract
  -o OUTPUT, --output OUTPUT
                        JSON file containing data outputted by the application

ssl-metrics-git-productivity-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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