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pro vyhledávání: '"Le, Triet Huynh Minh"'
Background: The C and C++ languages hold significant importance in Software Engineering research because of their widespread use in practice. Numerous studies have utilized Machine Learning (ML) and Deep Learning (DL) techniques to detect software vu
Externí odkaz:
http://arxiv.org/abs/2407.17053
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 emphasizes automating Continuous Integration (CI) with these learning-based
Externí odkaz:
http://arxiv.org/abs/2406.19765
Background: Machine Learning (ML) methods are being increasingly used for automating different activities, e.g., Test Case Prioritization (TCP), of Continuous Integration (CI). However, ML models need frequent retraining as a result of changes in the
Externí odkaz:
http://arxiv.org/abs/2305.12736
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 aimed to identify and describe the techniques used in ML-based soluti
Externí odkaz:
http://arxiv.org/abs/2305.12695
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 automa
Externí odkaz:
http://arxiv.org/abs/2304.02829