MAPE-K Loop-Based Goal Model Generation Using Generative AI

作者：Hiroyuki Nakagawa, Shinichi Honiden · 年份：2023 · DOI：10.1109/rew57809.2023.00050 · 被引用次数：13 · 研究领域：Model-Driven Software Engineering Techniques、Advanced Software Engineering Methodologies、Software Engineering Techniques and Practices

Goal modeling constitutes a systematic modeling of representation, specifically crafted to capture and depict stakeholders' intentions, desires, and objectives. Notwithstanding its importance, describing the entire scope of goals to be achieved remains a complex task. To address this challenge, we propose a semi-automatic goal model generation process. The feature of the process lies in its use of a generative AI based on the MAPE-K loop mechanism. We conducted two case studies that built goal models using this proposed process. The results demonstrate that our process, grounded on the MAPE-K loop mechanism, efficiently aids goal model construction.