- author = "Prasham Jadhwani and Carol Hanna and William B. Langdon and Justyna Petke",
- title = "Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code",
- booktitle = "15th International Workshop on Genetic Improvement @ICSE 2026",
- year = "2026",
- editor = "Aymeric Blot and Oliver Krauss",
- address = "Rio de Janeiro",
- month = "13 " # apr,
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, genetic improvement, engineering Search-based software engineering, SBSE, Software Maintenance, Code Transpilation",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gi2026/jadhwani_2026_GI.pdf",
- size = "8 pages",
- abstract = "We use Genetic Improvement (GI)-based Automated Program Repair (APR) techniques for syntax correction on transpiled code produced by both large language models (LLMs) and rule-based translators. A three-stage pipeline was developed, combining rule-based test generation, an optional LLM-driven preprocessing stage for syntax correction, and GI-based repair strategies. LLM-assisted Type Change Operator and Boolean Value Change Operator were added to the MAGPIE GI framework, which reduced transpilation bugs from Python to Java by 33 percent (LLM) and by 18 percent on rule-based translations. A comprehensive taxonomy of common transpilation bugs was developed, mapping faults to mutation operators, alongside an evaluation of the effectiveness of secondary LLM interventions.",
-
notes = "GI @ ICSE 2026,
ACM Paper #: 15456.3",
