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.
Available: https://arxiv.org/abs/2412.10953
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AI models generated nearly 16,000 lines of unit tests in hours and enabled safe large-scale refactoring with up to 78% branch coverage in a case study.
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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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AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
AI models generated nearly 16,000 lines of unit tests in hours and enabled safe large-scale refactoring with up to 78% branch coverage in a case study.