A Framework for Structurally Deterministic Pipeline Based Drafting and Quality Improvement of Software Requirements Specifications Using Language Models and Reinforcement Learning
A systematic approach to SRS generation in which input requirements from stakeholders are classified into semantically meaningful topics, followed by the construction of an initial skeleton document based on these topics, which is then incrementally expanded using reinforcement learning to improve consistency, completeness, and coverage.