Automated Validation of COBOL to Java Transformation
April 14, 2025 Β· Declared Dead Β· π International Conference on Automated Software Engineering
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Authors
Atul Kumar, Diptikalyan Saha, Toshikai Yasue, Kohichi Ono, Saravanan Krishnan, Sandeep Hans, Fumiko Satoh, Gerald Mitchell, Sachin Kumar
arXiv ID
2506.10999
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
3
Venue
International Conference on Automated Software Engineering
Last Checked
4 months ago
Abstract
Recent advances in Large Language Model (LLM) based Generative AI techniques have made it feasible to translate enterpriselevel code from legacy languages such as COBOL to modern languages such as Java or Python. While the results of LLM-based automatic transformation are encouraging, the resulting code cannot be trusted to correctly translate the original code. We propose a framework and a tool to help validate the equivalence of COBOL and translated Java. The results can also help repair the code if there are some issues and provide feedback to the AI model to improve. We have developed a symbolic-execution-based test generation to automatically generate unit tests for the source COBOL programs which also mocks the external resource calls. We generate equivalent JUnit test cases with equivalent mocking as COBOL and run them to check semantic equivalence between original and translated programs.
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