A feasibility study on the automated generation of acceptance criteria for user stories using LLMs

This dataset supports a study exploring the use of large language models (LLMs) to automate the generation of acceptance criteria for user stories in agile software development. Eight software professionals contributed user stories and criteria, which were compared against output from OpenAI’s o1-mini model. The study includes qualitative evaluations from a focus group, highlighting both the potential and limitations of using LLMs for this task.