Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java
It addresses a critical challenge in aging software systems for industries like banking and insurance, offering a scalable solution.
This study tackled the problem of modernizing legacy COBOL code into Java using AI, achieving 93% accuracy with a 35% reduction in complexity and 33% reduction in coupling.
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.