SBFT Tool Competition 2024 - Cyber-Physical Systems Track-Reference-Cited by-同舟云学术

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SBFT Tool Competition 2024 - Cyber-Physical Systems Track

Published:2024-04-14 Issue: Volume: Page:33-36
ISSN:
Container-title:Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing
language:
Short-container-title:

Author:

Biagiola Matteo¹^ORCID,Klikovits Stefan²^ORCID

Affiliation:

1. Universita della Svizzera italiana, Lugano, Switzerland

2. Johannes Kepler University, Linz, Austria

Funder

European Research Council Advanced Grant 2017 Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643659.3643932

Reference21 articles.

1. Black-Box Testing of Deep Neural Networks through Test Case Diversity

2. Paolo Arcaini and Ahmet Cetinkaya. 2024. CRAG at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track. In 17th IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024, Lisbon, Portugal, April 14, 2024.

3. Aren A. Babikian and Dániel Varró. 2024. OptAngle at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track. In 17th IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024, Lisbon, Portugal, April 14, 2024.

4. BeamNG GmbH. 2024. BeamNG.tech. https://beamng.tech/

5. SBFT Tool Competition 2023 - Cyber-Physical Systems Track

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