Paper ID: 2304.02829

SoK: Machine Learning for Continuous Integration

Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le, Muhammad Ali Babar

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.

Submitted: Apr 6, 2023