Print Email Facebook Twitter Github Mining Title Github Mining: Discover the Descriptive Metrics of the Context in Continuous Integration (CI) Project Author Hibbs, Patrick (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Huang, S. (mentor) Proksch, S. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2023-06-28 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. Subject GitHubContinuous Integrationproject activity To reference this document use: http://resolver.tudelft.nl/uuid:c085d5a9-7a11-49bd-a5d2-7d2eeec2e28e Part of collection Student theses Document type bachelor thesis Rights © 2023 Patrick Hibbs Files PDF Research_paper_Patrick_Hibbs.pdf 263.94 KB Close viewer /islandora/object/uuid:c085d5a9-7a11-49bd-a5d2-7d2eeec2e28e/datastream/OBJ/view