Data

Tools

Indexes

Applications

Experiments

Open Source Science

prime-issue-spoilage

A tool to calculate the issue spoilage of a repository using the issues reported in its issue tracker

https://github.com/softwaresystemslaboratory/prime-issue-spoilage

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ✓
    Institutional organization owner
    Organization softwaresystemslaboratory has institutional domain (ssl.cs.luc.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

A tool to calculate the issue spoilage of a repository using the issues reported in its issue tracker

Basic Info
  • Host: GitHub
  • Owner: SoftwareSystemsLaboratory
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 165 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 2
  • Open Issues: 6
  • Releases: 4
Created over 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License Citation Zenodo

README.md

CLIME Issue Spoilage

DOI Release Project

A tool to calculate the issue spoilage of a repository using the issues reported in its issue tracker

Table of Contents

About

The Software Systems Laboratory (SSL) GitHub Issue Spoilage Project is a python tool to calculate the issue spoilage of a GitHub repository. It is reliant upon the output of the GitHub Issue tool.

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-spoilage

Command Line Options

clime-issue-spoilage-compute -h

``` shell usage: CLIME Issue Spoilage Calculator [-h] [-i INPUT] [-o OUTPUT] [-v]

A tool to calculate the issue spoilage of a repository

options: -h, --help show this help message and exit -i INPUT, --input INPUT Issues JSON file. DEFAULT: ./githubissues.json -o OUTPUT, --output OUTPUT Output JSON file. DEFAULT: ./issuespoilage.json -v, --version Display version of the tool

Author(s): Nicholas M. Synovic, Rohan Sethi, Jacob Palmer, George K. Thiruvathukal ```

clime-issue-spoilage-graph -h

``` shell usage: CLIME Issue Spoilage 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 spoilage of a repository

options: -h, --help show this help message and exit -i INPUT, --input INPUT JSON export from CLIME GitHub Bus Factor Compute. DEFAULT: ./issuespoilage.json -o OUTPUT, --output OUTPUT Filename of the graph. DEFAULT: ./issuespoilage.pdf --type TYPE Type of figure to plot. DEFAULT: line --title TITLE Title of the figure. DEFAULT: "" --x-label XLABEL X axis label of the figure. DEFAULT: "" --y-label YLABEL 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, Rohan Sethi, Jacob Palmer, George K. Thiruvathukal

```

Owner

  • Name: Software and Systems Laboratory
  • Login: SoftwareSystemsLaboratory
  • Kind: organization
  • Email: ssl@cs.luc.edu
  • Location: Loyola University Chicago

Fostering innovation via experimentation and collaboration with an emphasis on openness.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- given-names: George
  family-names: Thiruvathukal
  email: gkt@cs.luc.edu
  affiliation: Loyola University Chicago
  orcid: 'https://orcid.org/0000-0002-0452-5571'
- given-names: Jacob
  family-names: Palmer
  email: jpalmer3@luc.edu
  affiliation: Loyola University Chicago
  orcid: 'https://orcid.org/0000-0003-4586-5369'
- orcid: 'https://orcid.org/0000-0002-9587-3722'
  given-names: Rohan
  family-names: Sethi
  email: rsethi@luc.edu
  affiliation: Loyola University Chicago
- given-names: Nicholas
  family-names: Synovic
  email: nsynovic@luc.edu
  affiliation: Loyola University Chicago
  orcid: 'https://orcid.org/0000-0003-0413-4594'

title: "SoftwareSystemsLaboratory/clime-metrics"
version: 0.3
doi: 10.5281/zenodo.6454355
date-released: 2022-02-09
url: "https://github.com/SoftwareSystemsLaboratory/clime-issue-spoilage"

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 6
  • Total pull requests: 6
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 11 hours
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 0.17
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • estoneman (4)
  • NicholasSynovic (2)
Pull Request Authors
  • rsethi21 (3)
  • NicholasSynovic (3)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • intervaltree *
  • matplotlib *
  • numpy *
  • pandas *
  • progress *
  • python-dateutil *
  • requests *
setup.py pypi
  • intervaltree *
  • matplotlib *
  • numpy *
  • pandas *
  • progress *
  • python-dateutil *
  • requests *