Abstract
In automated and autonomous driving, we need to verify the behavior considering critical interactions with the environment. To find such interactions, we need an appropriate test suite generation methodology. This paper summarizes the findings we published last year in a journal comparing combinatorial, search-based, and random testing utilizing the same input model. We focused on detecting faults and combinatorial coverage, considering two automated emergency braking function implementations in our experimental evaluation.
Original language | English |
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Title of host publication | Proceedings - 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024 |
Publisher | IEEE |
Pages | 178-179 |
Number of pages | 2 |
ISBN (Electronic) | 9798350344790 |
DOIs | |
Publication status | Published - 17 Sept 2024 |
Event | 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024 - Toronto, Canada Duration: 27 May 2024 → 31 May 2024 |
Conference
Conference | 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024 |
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Country/Territory | Canada |
City | Toronto |
Period | 27/05/24 → 31/05/24 |
Keywords
- Automated ADAS testing
- automated testing for autonomous driving
- combinatorial testing
- comparing testing methodologies
- random testing
- search-based testing
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Safety, Risk, Reliability and Quality
- Modelling and Simulation