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The Ethereal
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
May 23, 2022 ยท Declared Dead ยท ๐ International Workshop on Search-Based Software Testing
"No code URL or promise found in abstract"
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Authors
Jarkko Peltomรคki, Frankie Spencer, Ivan Porres
arXiv ID
2205.11060
Category
cs.LG: Machine Learning
Cross-listed
cs.SE
Citations
10
Venue
International Workshop on Search-Based Software Testing
Last Checked
4 months ago
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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