基于LLM的LGPD合规需求工程简化研究
原标题：Simplifying Requirements Engineering in the Context of the LGPD: An LLM-Based Investigation
AI 摘要
本研究探讨了大型语言模型（LLM）在巴西通用数据保护法（LGPD）背景下简化需求工程（RE）的潜力。研究开发并评估了一种基于检索增强生成（RAG）的系统，利用LGPD文本和ANPD指南，通过少样本提示和思维链技术自动生成用户故事和验收测试场景。评估结果显示高性能，证实了LLM能从软件初始阶段确保法规合规，弥补了现有研究多聚焦GDPR且偏重事后验证的空白。
正文节选
Simplifying Requirements Engineering in the Context of the LGPD: An LLM-Based Investigation Abstract Compliance with privacy legislation poses a complex challenge to Requirements Engineering (RE): translating legal norms into software requirements. In this context, this study investigates whether Large Language Models (LLMs) can simplify RE within the framework of the Brazilian General Data Protection Law (LGPD). The proposed approach utilizes current legislation to automatically generate User S