Sammanfattning
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.
Originalspråk | Engelska |
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Titel på värdpublikation | The 15th Search-Based Software Testing Workshop SBST 2022 |
Förlag | IEEE |
Sidor | 1-5 |
ISBN (tryckt) | 978-1-4503-9318-8 |
DOI | |
Status | Publicerad - 2022 |
MoE-publikationstyp | A4 Artikel i en konferenspublikation |
Evenemang | International Workshop on Search-Based Software Testing - Varaktighet: 9 maj 2022 → … |
Konferens
Konferens | International Workshop on Search-Based Software Testing |
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Förkortad titel | SBST |
Period | 09/05/22 → … |