Author

J. Ayerdi

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Preprint Aug 2026

Hype Meets Reality: Large Language Models as Mutators in Search-based Automated Program Repair of Simulink-Stateflow Models

This paper extends the state-of-the-art FlowRepair approach by replacing a subset of its mutation operators with LLM-generated mutations, enabling more flexible and expressive patch generation and highlighting fundamental limitations of naively integrating LLMs into search-based APR.

Ayesha Irshad, Pablo Valle, J. Ayerdi et al. · 0 citations

Preprint Jul 2026

RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models

RagTester is presented, an automated end-to-end testing approach for RAG systems that can effectively expose failures caused by the interaction between retrieval and generation components and support the assessment of RAG configurations before deployment.

Ange Maiztegi, J. Ayerdi, Miren Illarramendi et al. · 0 citations