AI Can Translate COBOL to Java, But Verifying Behavioral Accuracy Remains Unsolved

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Banks, insurers, and government agencies rely on aging COBOL mainframe systems that are costly to maintain yet difficult to modernize. AI tools can now rapidly convert COBOL into Java, but they cannot guarantee the migrated code replicates the original system's behavior with full accuracy. A key risk is subtle computational differences — such as fixed-point versus floating-point arithmetic — that may produce near-identical results on individual transactions but compound into significant discrepancies across millions of accounts over time. Conventional spot-testing only validates the code paths developers think to check, leaving undocumented business logic and operational assumptions potentially unverified. Developers argue the industry needs a more rigorous standard — focused on preserving behavioral completeness, not just syntactic translation — to truly validate COBOL migration outcomes.

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