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New method improves COBOL to Java code migration with synthetic testing

Researchers have developed a new method for certifying repeatable entry-replay witnesses to improve the migration of COBOL applications to Java. This approach uses generated synthetic end-to-end test cases to achieve high branch and paragraph coverage, observing code execution traces on a surrogate COBOL program. Applied to a large COBOL program, the method generated 849 test cases, covering over 78% of source branches and 95% of main-AST paragraphs, and successfully validated the generated Java code against the COBOL surrogate. The process also identified 61 defects in the Java generator and detected 47.6% of seeded business logic bugs, though it struggled with rounding and precision errors. AI

IMPACT This research could streamline the migration of legacy systems, potentially reducing costs and improving the maintainability of older software.

RANK_REASON Academic paper detailing a novel method for code migration. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method improves COBOL to Java code migration with synthetic testing

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Academic paper detailing a novel method for code migration. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Andras L. Ferenczi, Mariya Bessonov, Allwyn Ponnudurai, Chandrakanth R. Mamillapalli, Krishna K. Maddula, Krishna K. Lingamneni ·

    Certifying Repeatable Entry-Replay Witnesses for COBOL-to-Java Migration

    arXiv:2610.27272v1 Announce Type: cross Abstract: Producing synthetic data for comparison testing a migrated COBOL application is a major challenge that agentic migrations face today. Our prior paper, the Agentic Method for Deterministic Validation of Legacy Code Migration, prese…