From the 1 of 10 linked papers with an AI index.
1 citations · 1 across the 5 of their papers we have counts for
10 papers
Explanation-Guided Metamorphic Testing of Specialized Language Models: An Empirical Study
Xingcheng Chen, Mehmet Besenk, Andrea Stocco
\head{Background} Task-specialized language models are increasingly integrated into software engineering workflows to support vertical-domain activities such as issue triaging, doc…
HyperNet-Adaptation for Diffusion-Based Test Case Generation
Oliver WeiÃl, Vincenzo Riccio, Severin Kacianka +1
HyNeA introduces hypernetwork-based control of diffusion models to efficiently generate realistic, failure-inducing test cases without needing labeled datasets, reducing computatio…
Generative Testing of Automated Speech Recognition Systems
Yanis Xabier Wilbrand Peña, Oliver WeiÃl, Andrea Stocco
Automatic speech recognition (ASR) systems have achieved high accuracy with transformer-based models, enabling deployment in critical applications. However, they remain vulnerable…
Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing
Lev Sorokin, Matteo Biagiola, Andrea Stocco
Scenario-based testing with driving simulators is extensively used to identify failing conditions of automated driving assistance systems (ADAS). However, existing studies have sho…
E-CoDrive: A Co-Simulation Framework for Testing Energy-Critical Driving Scenarios
Manfredi Napolitano, Alessandra Somma, Alessio Gambi +2
Autonomous driving research has largely focused on safety while giving limited attention to non-functional aspects such as energy consumption and sustainability. As Autonomous Elec…
Latent Regularization in Generative Test Input Generation
Giorgi Merabishvili, Oliver WeiÃl, Andrea Stocco
This study investigates the impact of regularization of latent spaces through truncation on the quality of generated test inputs for deep learning classifiers. We evaluate this eff…