Papers by Ankur Kalohia

    1 papers
    Leveraging Generative AI for Extracting Business Requirements from Legacy COBOL and PL/I Code (2026.acl-industry)

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    Challenge: Existing pipelines for extracting business requirements from legacy systems are difficult because they are scattered across interdependent programs and data definitions.
    Approach: They propose an LLM-augmented reverse-engineering pipeline that provides deterministic parsing and schema-constrainedLLM generation with bidirectional traceability.
    Outcome: The proposed pipeline achieves 93% agreement with expert-authored business rules and reduces documentation effort by approximately 70% on 3.4M lines across workloads.

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