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

Andras L. Ferenczi, Mariya Bessonov, Allwyn Ponnudurai, Chandrakanth R. Mamillapalli, Krishna K. Maddula, Krishna Lingamneni · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.27272 · cited by 0 works (OpenAlex) · open-access PDF

Japanese

エージェントの移行が今日直面する大きな課題である。当社の前の論文は、遺産コード移行の決定的な検証のためのエージェントメソッドであるが、そのような移行を容易にするために、Locksmith Loop をテストするための決定的なオラクルを提示している。我々は今、このような移行を容易にするために、Locksmith Loop を提供するための決定的なオラクルを提示している。我々は、代替コードの実行の痕跡を観察することによって、入力再生テストケース認証を介して、生成された合成エンド-to-エンドテストケースを介して、非常に大きなクラスとパターンカバーのカバーを達成するための新しい方法を提案した。我々は、非常に大きな

Machine translation (Meta M2M100); the English original follows.

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, presents a deterministic oracle to facilitate such migrations, the Locksmith Loop. We now propose a novel method for achieving high branch and paragraph coverage through generated synthetic end-to-end test cases, by means of entry-replay test-case certification by observing the code execution trace on a surrogate COBOL program that mocks external interactions via a chronological external-operation tape. We applied our method to a very large COBOL program with 33,429 lines of code to generate 849 synthetic end-to-end test cases covering 2,973/3,806 source branches (78.1%) and 989/1,033 main-AST paragraphs (95.7%). Using the Locksmith Loop's projected-agreement validation, the generated Java code matched the COBOL surrogate on the specified observations across all 849 certified synthetic end-to-end test cases. During the campaign we detected 61 defects and fixed the Java generator accordingly. To test whether the coding agent could silently introduce business logic bugs, we seeded 450 defects into the Java code, such as deleted writes, deleted paragraph calls, and altered rounding, to verify how many of these would be detected by the gating methodology. The gate detected 47.6%, including all deleted writes and paragraph calls in executed code, but was unable to detect the rounding and precision defects.

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Topics: COBOL, Computer science, Programming language, Java, Code (set theory), Pointer (user interface)

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