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From Code to Requirements: Agentic Reverse Engineering of Business Rules at Enterprise Scale

Source
arxiv.org
Author
Garima Agrawal, Prasun Das, Priyanka L, Minisha N, Akshay Sarvade, Hemath Manivanan, Sravani Joshna, Prasad Kalyansundaram
Date

Context

An AI workflow described in From Code to Requirements reconstructs business requirements from an enterprise system's code, tests, configuration and existing documentation. Seven specialized agents identify user journeys and business rules, with software-analysis tools and human review at designated escalation points. The authors report producing requirements documents in under nine minutes per service in one enterprise deployment, with extracted rules corroborated against production defect records. That result concerns recovering documentation from an existing system. The paper's much larger cost-reduction claim uses a modeled labor baseline, so it should not be read as a measured 98% saving on an otherwise identical completed migration.

Key takeaways · AI-distilled
  • Measured on execution traces from a real enterprise deployment, the framework produced a Business Requirements Document in under nine minutes per service.
  • The extracted business rules were independently corroborated against real production defect records, and the agents use static analysis tools and are guided by embedded expert-practitioner cognitive models.
  • The authors claim a cost reduction above 98% against a baseline built from repository metrics with IFPUG complexity models and industry labor rates; a comparable prior migration to the same architecture took over two years.
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