Developers using AI assistants exhibit more stable emotions and greater focus on code creation, evaluation, and verification, captured in a new four-dimensional S-IASE model from retrospective labeling of screen recordings, surveys, and interviews.
Mining sequences of changed- files from version histories,
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Empirical comparison on 10 Node.js apps finds only 22% overlap between history-based and dynamic change-impact candidates, with dynamic analysis more precise and history adding missed candidates, supporting hybrid use.
citing papers explorer
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How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior
Developers using AI assistants exhibit more stable emotions and greater focus on code creation, evaluation, and verification, captured in a new four-dimensional S-IASE model from retrospective labeling of screen recordings, surveys, and interviews.
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Change Impact Recommendation for JavaScript: Lessons from History and Runtime Analysis
Empirical comparison on 10 Node.js apps finds only 22% overlap between history-based and dynamic change-impact candidates, with dynamic analysis more precise and history adding missed candidates, supporting hybrid use.