Model Generation from Requirements with LLMs: an Exploratory Study

arXiv:2404.06371v1 Announce Type: cross
Abstract: Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design. However, creating models from requirements involves manual effort. The advent of generative large language models (LLMs), ChatGPT being a notable example, offers promising avenues for automated assistance in model generation. This paper investigates the capability of ChatGPT to generate a specific type of model, i.e., UML sequence diagrams, from NL requirements. We conduct a qualitative study in …

abstract arxiv automated chatgpt communication cs.cl cs.lg cs.se design example exploratory generative however language language models large language large language models llms natural natural language requirements stakeholders study type