Data stream mining for predicting software build outcomes using source code metrics
Not on the map. Why?
Abstract (arXiv)
Software development projects involve the use of a wide range of tools to produce a software artifact. Software repositories such as source control systems have become a focus for emergent research because they are a source of rich information regarding software development projects. The mining of such repositories is becoming increasingly common with a view to gaining a deeper understanding of the development process.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Apr 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2; 2024: 2.
4 papers.
- 2024Systematic Literature Review on Application of Learning-based Approaches in Continuous Integrationcited by 6
- 2023SoK: Machine Learning for Continuous Integrationcited by 4
- 2023Systematic Literature Review on Application of Machine Learning in Continuous Integrationcited by 2
- 2024Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassiancited by 0
- 2024Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration28 Jun 2024
- 2024Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian15 Feb 2024
- 2023Systematic Literature Review on Application of Machine Learning in Continuous Integration22 May 2023
- 2023SoK: Machine Learning for Continuous Integration6 Apr 2023