SBFT Tool Competition 2023 - Cyber-Physical Systems Track
Author:
Affiliation:
1. Università della Svizzera italiana,Lugano,Switzerland
2. Institute for Business Informatics - Software Engineering, Johannes Kepler University Linz,Austria
3. Åbo Akademi University,Turku,Finland
4. University of Udine,Udine,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190353/10190320/10190377.pdf?arnumber=10190377
Reference24 articles.
1. Model-based exploration of the frontier of behaviours for deep learning system testing
2. Testing the Plasticity of Reinforcement Learning-based Systems
3. Automatically testing self-driving cars with search-based procedural content generation
4. Spirale at the SBFT 2023 tool competition - Cyber-physical systems track;vivo;16th IEEE/ACM International Workshop on Search-Based And Fuzz Testing SBFT 2023,2023
5. Misbehaviour prediction for autonomous driving systems
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2. Boundary State Generation for Testing and Improvement of Autonomous Driving Systems;IEEE Transactions on Software Engineering;2024-08
3. Focused Test Generation for Autonomous Driving Systems;ACM Transactions on Software Engineering and Methodology;2024-06-27
4. Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving;2024 IEEE Conference on Software Testing, Verification and Validation (ICST);2024-05-27
5. Two is better than one: digital siblings to improve autonomous driving testing;Empirical Software Engineering;2024-05-17
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