Affiliation:
1. Department of Computer Science, Columbia University, New York, NY, USA
Funder
National Science Foundation
Defense Advanced Research Projects Agency
Naval Information Warfare Center Pacific
National Instruments Corporation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Reference74 articles.
1. MTFuzz: fuzzing with a multi-task neural network
2. A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering
3. Testing Advanced Driver Assistance Systems Using Multi-objective Search and Neural Networks;raja ben abdessalem;IEEE/ACM Int Conference on Automated Software Engineering (ASE),2016
4. A critique and improvement of the CL common language effect size statistics of mcgraw and wong;vargha;Journal of Educational and Behavioral Statistics,2000
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. VioHawk: Detecting Traffic Violations of Autonomous Driving Systems through Criticality-Guided Simulation Testing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11
2. DiaVio: LLM-Empowered Diagnosis of Safety Violations in ADS Simulation Testing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11
3. Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10
4. Semantic-guided fuzzing for virtual testing of autonomous driving systems;Journal of Systems and Software;2024-06
5. MACS: Multi-Agent Adversarial Reinforcement Learning for Finding Diverse Critical Driving Scenarios;2024 IEEE Conference on Software Testing, Verification and Validation (ICST);2024-05-27