Leveraging Large Language Models for Requirements Generation: An Evaluation Through Systems Engineering Guidelines

Identifying business needs and system requirements is a crucial task in the systems engineering life cycle. With recent advancements in large language models (LLMs), there is growing interest in their potential to enhance the requirements engineering process. This study explores the capabilities of LLMs in generating and clustering requirements by developing a dedicated test platform. Our findings indicate that LLM-based tools can significantly aid in requirements engineering, achieving strong results in coverage and cluster relevance. Ongoing efforts focus on prototyping new applications and expanding the evaluation framework to further assess the impact of LLMs in this domain.