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OPTANGLE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track
McGill Univ, Canada.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8790-252X
2024 (English)In: 2024 IEEE/ACM INTERNATIONAL WORKSHOP ON SEARCH-BASED AND FUZZ TESTING, SBFT 2024, ASSOC COMPUTING MACHINERY , 2024, p. 73-74Conference paper, Published paper (Refereed)
Abstract [en]

OPTANGLE is a test generator for autonomous vehicles that leverages meta-heuristic search over a road representation based on relative angles between fixed-size road segments. It derives virtual roads by optimizing for (1) road structure validity, (2) failures during test execution, and (3) test case diversity. We have submitted OPTANGLE for participation to the Cyber-physical systems testing tool competition at SBFT 2024. Results show that test suites produced by OPTANGLE often provide high failure rates (wrt. its competitors), despite providing low diversity in detected failures.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2024. p. 73-74
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:liu:diva-209107DOI: 10.1145/3643659.3648561ISI: 001324631400025ISBN: 9798400705625 (print)OAI: oai:DiVA.org:liu-209107DiVA, id: diva2:1910863
Conference
17th IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, PORTUGAL, apr 14-16, 2024
Note

Funding Agencies|Amazon Research Award; Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden

Available from: 2024-11-06 Created: 2024-11-06 Last updated: 2024-11-22

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Total: 90 hits
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