1 citations · 2 across the 4 of their papers we have counts for
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Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi +1
Context: Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights in specific phases. The rise of continuous practices in software projects emphas…
Mitigating ML Model Decay in Continuous Integration with Data Drift Detection: An Empirical Study
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi +1
Background: Machine Learning (ML) methods are being increasingly used for automating different activities, e.g., Test Case Prioritization (TCP), of Continuous Integration (CI). How…
Systematic Literature Review on Application of Machine Learning in Continuous Integration
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi +1
This research conducted a systematic review of the literature on machine learning (ML)-based methods in the context of Continuous Integration (CI) over the past 22 years. The study…
SoK: Machine Learning for Continuous Integration
Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le +1
Continuous Integration (CI) has become a well-established software development practice for automatically and continuously integrating code changes during software development. An…