Benchmarking Large Language Models for Root Cause Analysis in Train Control Software Testing

Workshop Paper Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu, Wasif Afzal

A benchmark of seven large language models for automated root cause analysis of test failures, using execution logs from Alstom’s digital twin-based testing of train control software.

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This paper was published at the 22nd Workshop on Model Driven Engineering, Verification and Validation (MoDeVVa 2025), as part of the MONA LISA project.

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