用AI把老式COBOL代码自动转成Java，提升系统可维护性。
Code Reborn AI-Driven Legacy Systems Modernization from COBOL to Java
- 基于5万份COBOL代码，用AI分析并建议升级方案。
- 转换后复杂度降35%，耦合度降33%，准确率达93%。
- 适合银行、保险等依赖老旧系统的行业快速现代化。
本研究探讨将老旧COBOL代码通过AI驱动方式现代化为Java的可行性，应对老化软件系统的关键挑战。利用包含5万份COBOL文件的Legacy COBOL 2024 Corpus（来自公开及企业来源），结合Java解析、AI建议升级路径，并通过React可视化改造成效。实验显示，该方法实现93%的准确率，系统复杂度从18降至11.7（下降35%），耦合度从8降至5.4（下降33%），优于人工手段（75%）和规则基工具（82%）。该方案为银行、保险等行业提供了一条可扩展的COBOL系统现代化路径。
原文摘要 · Abstract (English)
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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