Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java

Gopichand Bandarupalli

Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java

Software Engineering 2025-04-16 v1 Artificial Intelligence Machine Learning

Authors: Gopichand Bandarupalli

Abstract

This study investigates AI-driven modernization of legacy COBOL code into Java, addressing a critical challenge in aging software systems. Leveraging the Legacy COBOL 2024 Corpus -- 50,000 COBOL files from public and enterprise sources -- Java parses the code, AI suggests upgrades, and React visualizes gains. Achieving 93% accuracy, complexity drops 35% (from 18 to 11.7) and coupling 33% (from 8 to 5.4), surpassing manual efforts (75%) and rule-based tools (82%). The approach offers a scalable path to rejuvenate COBOL systems, vital for industries like banking and insurance.

Cite

@article{arxiv.2504.11335,
  title  = {Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java},
  author = {Gopichand Bandarupalli},
  journal= {arXiv preprint arXiv:2504.11335},
  year   = {2025}
}

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