Abstract
WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.
| Original language | English |
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| Title of host publication | 2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST) |
| Publisher | IEEE |
| Pages | 53-54 |
| ISBN (Electronic) | 978-1-4503-9318-8 |
| ISBN (Print) | 978-1-6654-6234-1 |
| DOIs | |
| Publication status | Published - 2022 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE/ACM International Workshop on Search-Based Software Testing (SBST) - Duration: 9 May 2022 → 9 May 2022 |
Conference
| Conference | IEEE/ACM International Workshop on Search-Based Software Testing (SBST) |
|---|---|
| Abbreviated title | SBST 2022 |
| Period | 09/05/22 → 09/05/22 |