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

> Uses seven agents and human review to recover business requirements from source, tests, configuration and documentation. A reported enterprise migration checks extracted rules against production-defect records.

- Authors: Garima Agrawal; Prasun Das; Priyanka L; Minisha N; Akshay Sarvade; Hemath Manivanan; Sravani Joshna; Prasad Kalyansundaram
- Venue: arXiv
- Status: Preprint
- Publication / posting date: September 19, 2026
- Date source: First arXiv submission; no reviewed venue publication is established.
- First arXiv submission: September 19, 2026
- arXiv: 2609.22719
- Reviewed arXiv version: v1
- DOI: 10.48550/arxiv.2609.22719
- Sources reviewed: 2026-10-20
- Added to the catalog: 2026-10-20
- Original paper: <https://arxiv.org/abs/2609.22719>
- PDF: <https://arxiv.org/pdf/2609.22719v1>
- BibTeX: <https://awesomerea.org/papers/citations/paper-agentic-business-rule-recovery.bib>
- Catalog page: <https://awesomerea.org/papers/paper-agentic-business-rule-recovery/>
- Record JSON: <https://awesomerea.org/papers/paper-agentic-business-rule-recovery/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/papers/paper-agentic-business-rule-recovery/index.md)

## Scope and limitations

Evidence covers one enterprise Java programme and one legacy pilot. The cost comparison uses a modeled manual baseline with asymmetric accounting. Static analysis misses some runtime and external rules; coverage does not establish completeness. Confidential inputs limit independent reproduction.

## Why it fits this collection

Extends application reconstruction to recovering behavioral specifications.

## Publication and review notes

Reviewed the September 2026 preprint and registered DOI. No dedicated public code or dataset was verified. Reported efficiency is an author case-study result.

## Primary sources

1. <https://arxiv.org/abs/2609.22719v1>
2. <https://arxiv.org/html/2609.22719v1>
3. <https://api.datacite.org/dois/10.48550/arxiv.2609.22719>

## About this entry

Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.