Github Mining

Discover the Descriptive Metrics of the Context in Continuous Integration (CI) Project

Bachelor thesis (2023)

Authors

P.J. Hibbs Electrical Engineering, Mathematics and Computer Science

Contributors

S. Huang Software Technology (supervisor 1)
S. Proksch Software Engineering - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Patrick Hibbs
Continuous Integration GitHub Project activity
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Published Date

28-06-2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Continuous Integration (CI) systems automate the building, testing, and possibly more. However, it is still unclear how CI should be implemented in different contexts. Therefore, this paper tries to answer the question "What metrics can be used to describe project activity", as part of a bigger study. We mined information from 500 repositories and then applied several analysis techniques to find out whether a metric can be used to describe activity or not. Among the results, we show that the activity around a release date increases, and that Java is a way more active language than other languages, with the highest amount of commits, closed pull requests, contributors, issues, and releases.