Key points are not available for this paper at this time.
In recent years, artificial intelligence/machine learning (AI/ML) have been widely used in software engineering (SE) to improve developer productivity, software quality, and decision making. This includes well-known tools for code completion (for example, GitHub’s Copilot) but also code search; automated task recommendation; automated developer recommendation; automated defect/vulnerability/malware prediction, detection, localization, and repair; and many other purposes.
Tantithamthavorn et al. (Wed,) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: