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Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java
April 15, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Gopichand Bandarupalli
arXiv ID
2504.11335
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.LG
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
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.
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