{
  "added_at": "2026-10-20",
  "arxiv_id": "2609.22719",
  "arxiv_version_reviewed": "v1",
  "authors": [
    "Garima Agrawal",
    "Prasun Das",
    "Priyanka L",
    "Minisha N",
    "Akshay Sarvade",
    "Hemath Manivanan",
    "Sravani Joshna",
    "Prasad Kalyansundaram"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-agentic-business-rule-recovery.bib",
  "code_url": null,
  "date_basis": "First arXiv submission; no reviewed venue publication is established.",
  "date_basis_zh": "采用首次 arXiv 提交日期；未确立正式期刊或会议出版。",
  "date_precision": "day",
  "description_en": "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.",
  "description_zh": "利用七个智能体与人工审查，从源码、测试、配置及文档恢复业务需求；企业迁移案例以生产缺陷记录核对提取的规则。",
  "doi": "10.48550/arxiv.2609.22719",
  "entry_url": "https://awesomerea.org/papers/paper-agentic-business-rule-recovery/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-agentic-business-rule-recovery/",
  "evidence_urls": [
    "https://arxiv.org/abs/2609.22719v1",
    "https://arxiv.org/html/2609.22719v1",
    "https://api.datacite.org/dois/10.48550/arxiv.2609.22719"
  ],
  "first_arxiv_date": "2026-09-19",
  "id": "paper-agentic-business-rule-recovery",
  "json_url": "https://awesomerea.org/papers/paper-agentic-business-rule-recovery/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-agentic-business-rule-recovery/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-agentic-business-rule-recovery/index.md",
  "metadata_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.",
  "metadata_notes_zh": "已核对 2026 年 9 月预印本及注册 DOI，未核实专用公开代码或数据集。效率数字属于作者案例结果。",
  "pdf_url": "https://arxiv.org/pdf/2609.22719v1",
  "project_url": null,
  "publication_date": "2026-09-19",
  "publication_status": "preprint",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "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.",
  "scope_limitations_zh": "证据来自一个企业 Java 项目及一个遗留系统试点。成本比较采用估算的人工基线，核算口径不对称。静态分析遗漏部分运行时与外部规则，覆盖率不证明完整性；保密输入限制独立复现。",
  "targets": [
    "app"
  ],
  "title": "From Code to Requirements: Agentic Reverse Engineering of Business Rules at Enterprise Scale",
  "title_zh": "从代码到需求：企业规模的智能体业务规则逆向恢复",
  "url": "https://arxiv.org/abs/2609.22719",
  "venue": "arXiv",
  "verification": "source-reviewed",
  "verified_at": "2026-10-20",
  "why_fits_en": "Extends application reconstruction to recovering behavioral specifications.",
  "why_fits_zh": "将应用逆向恢复扩展至行为规格与业务规则。",
  "year": 2026
}