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Spec2COBOLRot: An Agentic-AI Degradation Loop for Realistic COBOL Corpus Generation

Source
Jean-Baptiste Espinasse (DiverSe), Djamel Eddine Khelladi (DiverSe, CNRS, IRISA, KHORA), Mathieu Acher (INSA Rennes, IRISA, DiverSe)
Author
Jean-Baptiste Espinasse (DiverSe), Djamel Eddine Khelladi (DiverSe, CNRS, IRISA, KHORA), Mathieu Acher (INSA Rennes, IRISA, DiverSe)
Date
Key takeaways · AI-distilled
  • The pipeline combines specification-driven generation with iterative degradation guided by patterns and complexity targets extracted from real production COBOL.
  • Across three programs from distinct business domains, the pipeline reliably produced syntactically valid code and moved it toward realistic structural complexity, with realism defined by the authors’ own structural metrics.
  • Targeting structural metrics independently of business logic risks programs whose complexity does not reflect a plausible maintenance history; the authors propose simulating a development history from scratch instead.
Terms in this piece · Glossary
  • benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Why it matters

Legacy modernization tooling is hard to without realistic corpora; this offers a reproducible way to generate them and flags where the approach can silently break business logic.

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