SoK: Machine Learning for Continuous Integration
This is an incremental review for researchers and practitioners in software engineering to understand and improve ML applications in CI.
The paper provides a Systemization of Knowledge (SoK) on machine learning approaches for automating Continuous Integration phases, analyzing existing methods and identifying deficiencies to advance the state-of-the-art.
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.