Author

Paolo Arcaini

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#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

Jul 2026

RepTran: Search-Based Repair of Transformer Models

RepTran, a search-based repair method for Transformer models, targets their feed-forward networks (FFNs), which play a central role in the architecture and suggests that RepTran is effective for enhancing the reliability of AI-enabled software.

Yuta Ishimoto, Paolo Arcaini, Fuyuki Ishikawa et al. · arXiv.org · 0 citations

Book Open access Jul 2026

Should I Overtake? Cue Learning using Evolution for Accurate Recognition of Safe Autonomous Vehicle Maneuvers

This work creates a novel open-source symbolic traffic model EvoDrive designed specifically for EC research, which outputs LLM-readable snapshots and shows that LLMs + EvoDrive with CLEAR can reduce error by more than 20% compared to without CLEAR, with statistically significant results.

Peter J. Bentley, S. Lim, Fuyuki Ishikawa et al. · Annual Conference on Genetic... · 0 citations