Search papers, labs, and topics across Lattice.
This study explores the application of Large Language Models (LLMs) to streamline Requirements Engineering (RE) in compliance with Brazil's General Data Protection Law (LGPD). By leveraging LLMs to automatically generate User Stories and Acceptance Test Scenarios from legal texts, the research addresses the intricate challenge of translating legal requirements into actionable software specifications. The evaluation indicates that LLMs can significantly enhance the efficiency of RE processes while ensuring adherence to regulatory standards from the outset of software development.
LLMs can transform the way legal compliance is integrated into software development, generating actionable requirements directly from complex legislation.
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 Stories and Acceptance Test Scenarios. The evaluation results demonstrated high performance, confirming the potential of LLMs to ensure regulatory compliance from the software's inception.
