Diego Firmenich, Leandro Antonelli, Bruno Pazos, Fabricio Lozada, Leonardo Morales
This study demonstrates that using large language models (LLMs) with a glossary enhances the extraction of user stories from mockups, improving communication in software development.
In software development, user stories are essential for understanding what users need from a product. High-fidelity mockups help users visualize their requirements. This research explores how large language models (LLMs), a type of AI, can automatically generate these user stories from mockups. By including a specialized glossary, the study found that LLMs can produce more accurate and relevant user stories, which helps developers and users communicate better.
