Author

Aitor Arrieta

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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

#software testing Preprint Sep 2026

Search-Based Metamorphic Testing of Vision-Language Models in Autonomous Underwater Robotic Software

A search-based metamorphic testing approach that identifies a minimal set of transformations on underwater images to induce incorrect model predictions, thereby revealing VLM failures and derive lessons for software engineering practitioners and researchers working on quality assurance of VLM-based software systems.

Muhammad Yousaf, Aitor Arrieta, Shaukat Ali 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