12 citations · 19 across the 15 of their papers we have counts for
5 papers · 2 filters
Hype Meets Reality: Large Language Models as Mutators in Search-based Automated Program Repair of Simulink-Stateflow Models
Ayesha Irshad, Pablo Valle, Jon Ayerdi +1
Search-based Automated Program Repair (APR) techniques rely on carefully designed mutation operators to explore the space of candidate fixes. Recent advances in Large Language Mode…
Delta Debugging for Cyber-Physical Systems with Flaky Test Executions
Pablo Valle, Shaukat Ali, Aitor Arrieta
Simulation-based testing is widely used to validate Cyber-Physical Systems (CPSs), yet modern CPS simulators frequently exhibit non-deterministic (flaky) behavior, making failures…
MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models
Pablo Valle, Shaukat Ali, Aitor Arrieta +1
Vision-Language-Action (VLA) models are emerging robotic control systems that integrate perception, language understanding, and action generation in a unified architecture. Existin…
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…
Exploring the Potential of Large Language Models in Simulink-Stateflow Mutant Generation
Pablo Valle, Shaukat Ali, Aitor Arrieta
Mutation analysis is a powerful technique for assessing test-suite adequacy, yet conventional approaches suffer from generating redundant, equivalent, or non-executable mutants. Th…