works on

From the 2 of 20 linked papers with an AI index.

activity
20242026
collaborators

20 papers

cs.SE2026

Search-Based Generation of Undetected Quantum Circuit Mutants

Eñaut Mendiluze Usandizaga, Thomas Laurent, Paolo Arcaini +1

Quantum mutation analysis is emerging as an essential technique for evaluating test suites due to the limited availability of real faulty quantum programs. However, existing quantu…

cs.SE2026

Automatic Testing of Interacting Autonomous Vehicles

Fabio Cavaleri, Alessio Gambi, Paolo Arcaini +2

The paper introduces EVITA, a method that uses multi‑objective optimization to automatically generate diverse simulation scenarios that involve multiple interacting autonomous vehi…

cs.SE2026

RepTran: Search-Based Repair of Transformer Models

Yuta Ishimoto, Paolo Arcaini, Fuyuki Ishikawa +3

The paper introduces RepTran, a search‑based method that repairs Transformer models by identifying and optimizing suspicious feed‑forward network weights using variance‑based and b…

cs.SE2026

VISOR: A Vision-Language Model-based Test Oracle for Testing Robots

Prasun Saurabh, Pablo Valle, Aitor Arrieta +2

Testing robots requires assessing whether they perform their intended tasks correctly, dependably, and with high quality, a challenge known as the test oracle problem in software t…

cs.SE2026

Robust Mutation Analysis of Quantum Programs Under Noise

Sophie Fortz, Eñaut Mendiluze Usandizaga, Shaukat Ali +2

Mutation analysis has long been used in classical software testing and has recently been adopted for assessing the robustness of quantum software testing techniques. However, exist…

cs.SE2026

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap

Hassan Sartaj, Shaukat Ali, Paolo Arcaini +1

Search-based software engineering (SBSE), which integrates metaheuristic search techniques with software engineering, has been an active area of research for about 25 years. It has…