Papers for

business process auditors

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

AI agents cut enterprise software rule extraction to minutes saving millions

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

Abstract: Business requirements for enterprise software systems are rarely captured in structured form; the logic resides instead in source code, configuration files, and institutional memory. When these systems must be migrated, extended, or audited, the absence of formal requirements artifacts forces teams into expensive, knowledge-losing manual reverse engineering. This paper presents an agentic framework that autonomously generates Business Requirements Documents (bRDs) through reverse engineering of undocumented enterprise software. Seven specialized agents collaborate to discover user journeys, extract business rules, and synthesize a locked bRD from code, test suites, configuration, and available documentation, supported by static analysis tools, guided by embedded expert practitioner cognitive models, and overseen by human reviewers at controlled escalation points. Measured on actual execution traces across a real enterprise deployment, the framework generates comprehensive bRDs in under nine minutes per service, with extracted rules independently corroborated against real production defect records. In a comparable prior migration to the same target architecture, delivery required over two years; on the present programme the framework achieves a cost reduction exceeding 98% against a baseline derived from actual repository metrics using IFPUG complexity models and industry benchmark labor rates.

Sat 19 SeptSoftware EngineeringArtificial Intelligence
The gist
Many big companies have software where important rules and instructions are only found in code and not written down clearly. This makes it hard and expensive to update or fix the software. The authors created a system with several AI agents that work together to read the code, tests, and manuals to write clear business rule documents automatically. This system works very fast and was shown to reduce time and costs dramatically compared to traditional manual work.
Open → 2609.22719v1