LLM-based agents for automating the enhancement of user story quality: An early report
arxiv(2024)
摘要
In agile software development, maintaining high-quality user stories is
crucial, but also challenging. This study explores the use of large language
models to automatically improve the user story quality in Austrian Post Group
IT agile teams. We developed a reference model for an Autonomous LLM-based
Agent System and implemented it at the company. The quality of user stories in
the study and the effectiveness of these agents for user story quality
improvement was assessed by 11 participants across six agile teams. Our
findings demonstrate the potential of LLMs in improving user story quality,
contributing to the research on AI role in agile development, and providing a
practical example of the transformative impact of AI in an industry setting.
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