sfi-lero / trees-innersource_project_fitness

A tool for measuring InnerSource project fitness. Shows Fitness score, Strengths & Weaknesses on 6 dimensions according to the Technology-Process-People model. Includes options for downloading the scores and the plots.

InnerSource Project Fitness

The InnerSource Project Fitness Tracker is designed to gauge how appropriate a project is for InnerSource.

Assessing the InnerSource-readiness (fitness) of projects can help in selecting projects that have the potential to help demonstrate the power of InnerSource, and with that be great role-models and pilot projects in an InnerSource Program. For further thoughts on the use case for this tool, also read the Good First Project pattern.

The questions used in this tool are motivated by the InnerSource Checklist, the Nine Factor Model for InnerSource adoption, and the State of InnerSource Survey 2020.

How to run it:

1. Install R.
2. Open R terminal, type in: install.packages('shiny')
3. Type in: library(shiny)
4. Type in: runGitHub('tapjdey/InnerSource_Project_Fitness', ref = "main")

Known Issues:

• Selections will be cleared for the multiple choice question and the Likert scale based questions when changing language.

trees-innersource_project_fitness's Issues

Explaination of 6 dimensions result

As some reader doesn't have chance to read about the 9-factor model introduced in the articles by Klaas-Jan Stol and Brian.
We may add some explaitions about 6 dimensions.

Fitness score storage

It could be helpful if we can store the assessment data through the R app.
We can discuss the detail implementation through this issue.

i18n supports of the survey page

I just did some research on the i18n of shiny and find out this project.
In this way can separate the display text with the code and ask help from community to do the translation work.

I will send out a PR for it with shortly.