ICSE 2022 (series) / SBST 2022 (series) / SBST 2022 /
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
Mon 9 May 2022 05:45 - 05:55 at SBST room - Session 2 Chair(s): Giovani Guizzo, Sebastiano Panichella
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 assist of a car fails to stay on the designated lane. We find that our algorithm has a competitive performance respect to previously published algorithms.
Mon 9 MayDisplayed time zone: Eastern Time (US & Canada) change
Mon 9 May
Displayed time zone: Eastern Time (US & Canada) change
04:45 - 06:00 | Session 2SBST at SBST room Chair(s): Giovani Guizzo University College London, Sebastiano Panichella Zurich University of Applied Sciences | ||
04:45 45mTutorial | Learning and Refining Input Grammars for Effective Fuzzing SBST Rahul Gopinath CISPA, Germany | ||
05:30 15mTalk | Learning to Rank for Test Case Prioritization SBST | ||
05:45 10mTalk | Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems SBST Jarkko Peltomäki Åbo Akademi University, Frankie Spencer Åbo Akademi University, Ivan Porres Åbo Akademi University | ||
Information for Participants
Mon 9 May 2022 04:45 - 06:00 at SBST room - Session 2 Chair(s): Giovani Guizzo, Sebastiano Panichella
Info for room SBST room: