Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects

August 04, 2022 Β· Declared Dead Β· πŸ› International Symposium on Empirical Software Engineering and Measurement

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Authors Jadson Santos, Daniel Alencar da Costa, UirΓ‘ Kulesza arXiv ID 2208.02598 Category cs.SE: Software Engineering Citations 17 Venue International Symposium on Empirical Software Engineering and Measurement Last Checked 4 months ago
Abstract
Background: Much research has been conducted to investigate the impact of Continuous Integration (CI) on the productivity and quality of open-source projects. Most of studies have analyzed the impact of adopting a CI server service (e.g, Travis-CI) but did not analyze CI sub-practices. Aims: We aim to evaluate the impact of five CI sub-practices with respect to the productivity and quality of GitHub open-source projects. Method: We collect CI sub-practices of 90 relevant open-source projects for a period of 2 years. We use regression models to analyze whether projects upholding the CI sub-practices are more productive and/or generate fewer bugs. We also perform a qualitative document analysis to understand whether CI best practices are related to a higher quality of projects. Results: Our findings reveal a correlation between the Build Activity and Commit Activity sub-practices and the number of merged pull requests. We also observe a correlation between the Build Activity, Build Health and Time to Fix Broken Builds sub-practices and number of bug-related issues. The qualitative analysis reveals that projects with the best values for CI sub-practices face fewer CI-related problems compared to projects that exhibit the worst values for CI sub-practices. Conclusions: We recommend that projects should strive to uphold the several CI sub-practices as they can impact in the productivity and quality of projects.
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