@inproceedings{d643ce6313d9454f8724b953b40b1731,
title = "On the industrial application of combinatorial testing for autonomous driving functions",
abstract = "The growing importance of automated and autonomous driving systems becomes more and more visible in the industrial domain as well as in research. Validation and verification of autonomous driving functions is one of the grand challenges in autonomous vehicle development. Virtual validation using simulation has been widely discussed and proposed as a method to solve the challenge. Furthermore, scenario-based approaches have been considered as proper methods combined with virtual validation in order to identify critical scenarios. In this paper, we discuss a method for testing automated and autonomous driving functions using ontologies and combinatorial testing that is able to automate test case generation. Moreover, we report on the application of the method at the industrial level. There we depict the comprehensive application process from the construction of the ontology to test suite execution in detail. This case study shows that the proposed approach can be used for testing and validation of autonomous driving functions in practice.",
keywords = "AEB, Autonomous driving, Combinatorial testing, Ontology, Test case generation",
author = "Jianbo Tao and Yihao Li and Franz Wotawa and Hermann Felbinger and Mihai Nica",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/ICSTW.2019.00058",
language = "English",
series = "Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019",
publisher = "IEEE",
pages = "234--240",
booktitle = "Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019",
address = "United States",
note = "12th IEEE International Conference on Software Testing, Verification and Validation Workshops : ICSTW 2019 ; Conference date: 22-04-2019 Through 27-04-2019",
}