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arXiv · 2205.11060

Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems

Jarkko Peltomäki·Frankie Spencer·Ivan Porres
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Abstract

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.

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Jarkko Peltomäki, Frankie Spencer, Ivan Porres. 2022-05-23. Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems. https://arxiv.org/abs/2205.11060

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