research
∙
05/14/2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Simulation-based testing represents an important step to ensure the reli...
share
research
∙
12/21/2022
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
Testing Deep Learning (DL) based systems inherently requires large and r...
research
∙
09/13/2022
Does Road Diversity Really Matter in Testing Automated Driving Systems? – A Registered Report
Background/Context. The use of automated driving systems (ADSs) in the r...
research
∙
09/15/2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Deep Learning (DL) components are routinely integrated into software sys...
research
∙
07/05/2021
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Deep Learning (DL) has been successfully applied to a wide range of appl...
research
∙
07/06/2020
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
With the increasing adoption of Deep Learning (DL) for critical tasks, s...
research
∙
10/24/2019
