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.
Ai tool use and adoption in software development by individuals and organizations: a grounded theory study,
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Qualitative interview study with 22 practitioners identifies multi-level benefits, challenges, and mitigation strategies for using LLMs in software development.
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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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Qualitative interview study with 22 practitioners identifies multi-level benefits, challenges, and mitigation strategies for using LLMs in software development.
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