EasyFR: Automated Functional Requirements Generation

We delve into the potential for automating the drafting of functional requirements from basic conceptual ideas, expressed through keywords and their syntactic roles, aiming to streamline the process of writing and revising SRS. We present EasyFR, an approach designed to distill high-frequency Semantic Role Labeling (SRL) templates from existing public functional requirements statements, recommend suitable templates for specific keyword-role combinations, and integrate these functions with the powerful ChatGLM-6B open language model to automate the generation of functional requirements drafts.