A Workflow-Driven Multi-agent Architecture for Requirements Engineering

Abstract

Requirements Engineering (RE) is an iterative process involving interpretation, clarification, modelling, and validation. Existing LLM-based approaches often rely on conversational interaction or specialised agents without explicit control over the progression and exchange of intermediate artefacts. We present a workflow-driven multi-agent architecture that coordinates specialised RE capabilities through explicit workflow states and structured artefacts, with human clarification and validation as explicit control points. An exploratory evaluation against a conversational baseline examines clarification and correction effort, while ablation analysis assesses the contribution of explicit clarification and validation. The results indicate fewer interaction cycles for the evaluated scenarios and show that removing these control points impairs convergence. The architecture provides a transparent and controllable basis for progressing from informal requirements towards behavioural models and downstream formalisation.