On the industrial application of combinatorial testing for autonomous driving functions

Jianbo Tao, Yihao Li, Franz Wotawa, Hermann Felbinger, Mihai Nica

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019
PublisherInstitute of Electrical and Electronics Engineers
Pages234-240
Number of pages7
ISBN (Electronic)9781728108889
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes
Event12th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019 - Xi'an, China
Duration: 22 Apr 201927 Apr 2019

Publication series

NameProceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019

Conference

Conference12th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019
CountryChina
CityXi'an
Period22/04/1927/04/19

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Keywords

  • AEB
  • Autonomous driving
  • Combinatorial testing
  • Ontology
  • Test case generation

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Tao, J., Li, Y., Wotawa, F., Felbinger, H., & Nica, M. (2019). On the industrial application of combinatorial testing for autonomous driving functions. In Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019 (pp. 234-240). [8728928] (Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSTW.2019.00058