The impact of LLM-generated models on novice domain modelers: a comparative experiment

In software development, domain models are conceptual blueprints that capture the structure, relationships, and key entities of a problem domain. Automated techniques can support analysts and developers by extracting such models from existing artifacts. However, this is a non-trivial task, especially when the input consists of informal artifacts such as user stories. This paper investigates how providing an initial, automatically generated domain model influences novice developers’ ability to co