  We propose a novel online test generation algorithm WOGAN based on
Wasserstein Generative Adversarial Networks. WOGAN is a general-purpose
black-box test generator applicable to any system under test having a fitness
function for determining failing tests. As a proof of concept, we evaluate
WOGAN by generating roads such that a lane assistance system of a car fails to
stay on the designated lane. We find that our algorithm has a competitive
performance respect to previously published algorithms.
