CLIME - Issues
Project description
CLIME Issues
A tool to download issue metadata from online issue trackers
Table of Contents
About
The Software Systems Laboratory (SSL) CLIME Issues project is a tool to download issue metadata from online issue trackers. Currently including GitLab, GitHub, and Bugzilla.
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-issues
Command Line Arguements
ssl-metrics-github-issues-collect -h
options:
-h, --help show this help message and exit
-p, --pull-request Flag to enable the collection of pull requests with the other data
-r REPOSITORY, --repository REPOSITORY
GitHub formatted as repository owner/repository
-o OUTPUT, --output OUTPUT
File to save JSON response(s) to
-t TOKEN, --token TOKEN
GitHub personal access token
ssl-metrics-github-issues-graph -h
options:
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 graph to
-r REPOSITORY_NAME, --repository-name REPOSITORY_NAME
Name of the repository that is being analyzed. Will be used in the graph title
--open Utilize Open Issue data
--closed Utilize Closed Issue data
--graph-data Graph the raw data. Discrete graph of the data
--graph-best-fit Graph the best fit polynomial of the data. Continous graph of the data. Polynomial degrees can be configured with
`-m`
--graph-velocity Graph the velocity of the data. Computes the best fit polynomial and takes the first derivitve. Polynomial degrees
can be configured with `-m`
--graph-acceleration Graph the acceleration of the data. Computes the best fit polynomial and takes the second derivitve. Polynomial
degrees can be configured with `-m`
--graph-all Graphs all possible figures of the data onto one chart. Computes the best fit polynomial and takes the first and
second derivitve. Polynomial degrees can be configured with `-m`
--x-min X_MIN The smallest x value that will be plotted
--x-max X_MAX The largest x value that will be plotted
-m MAXIMUM_POLYNOMIAL_DEGREE, --maximum-polynomial-degree MAXIMUM_POLYNOMIAL_DEGREE
Estimated maximum degree of the best fit polynomial
-s STEPPER, --stepper STEPPER
Step through every nth data point
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