Machine Learning and Software Engineering

By Du Zhang, J. Tsai. 2002

225 citations recorded by the source corpus.

How researchers see this paper

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Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions (2021, neutral): “, predicting designer effort, extracting specifications [7]).”
NeuroKit2: A Python toolbox for neurophysiological signal processing (2020, background): “Moreover, the extraction of meaningful information from neurophysiological signals is facilitated by current advances in signal processing algorithms (Clifton et al., 2012; Roy et al., 2019).”
An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions (2021, methodology): “Early work proposed ML-based tools to support developers through all stages of the software design life-cycle (e.g., predicting designer effort, extracting speciﬁcations [7]).”
Systematic literature review of machine learning based software development effort estimation models (2012, methodology): “Zhang and Tsai [6] summarized the applications of various ML techniques in SDEE domain, including case-based reasoning, decision trees, artificial neural networks, and genetic algorithms.”