Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
Not on the map. Why?
Abstract (arXiv)
Continuous Integration (CI) build failures could significantly impact the software development process and teams, such as delaying the release of new features and reducing developers' productivity. In this work, we report on an empirical study that investigates CI build failures throughout product development at Atlassian. Our quantitative analysis found that the repository dimension is the key factor influencing CI build failures. In addition, our qualitative survey revealed that Atlassian developers perceive CI build failures as challenging issues in practice. Furthermore, we found that the CI build prediction can not only provide proactive insight into CI build failures but also facilitate the team's decision-making. Our study sheds light on the challenges and expectations involved in integrating CI build prediction tools into the Bitbucket environment, providing valuable insights for enhancing CI processes.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 59 references that are in the map. First posted on arXiv 15 Feb 2024.
Builds on
7 of 59 references.
References · 7
- 2021Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Modelscited by 9
- 2020Explainable AI for Software Engineeringcited by 8
- 2018The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Reviewcited by 5
- 2016Data stream mining for predicting software build outcomes using source code metricscited by 4
- 2018Impact of Continuous Integration on Code Reviewscited by 2
- 2023Repeated Builds During Code Review: An Empirical Study of the OpenStack Communitycited by 2
- 2017Worse Than Spam: Issues In Sampling Software Developerscited by 1
Built on by
Not cited yet.