SoK: Machine Learning for Continuous Integration
April 06, 2023 Β· Declared Dead Β· π 2023 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps)
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Authors
Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le, Muhammad Ali Babar
arXiv ID
2304.02829
Category
cs.SE: Software Engineering
Cross-listed
cs.LG
Citations
5
Venue
2023 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps)
Last Checked
4 months ago
Abstract
Continuous Integration (CI) has become a well-established software development practice for automatically and continuously integrating code changes during software development. An increasing number of Machine Learning (ML) based approaches for automation of CI phases are being reported in the literature. It is timely and relevant to provide a Systemization of Knowledge (SoK) of ML-based approaches for CI phases. This paper reports an SoK of different aspects of the use of ML for CI. Our systematic analysis also highlights the deficiencies of the existing ML-based solutions that can be improved for advancing the state-of-the-art.
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