Using Search-Based Software Testing to Guide the Strive for Robust Machine Learning Components: Lessons Learned Across Systems and Simulators in the Mobility Domain 2022 (English)In: Proceedings - 2022 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2022, Institute of Electrical and Electronics Engineers Inc. , 2022Conference paper, Published paper (Refereed)

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers Inc. , 2022.

Keywords [en]

Learning systems, Machine components, Machine learning, Machine-learning, Robustness testing, Search-based, Search-based software testing, Software testing

National Category

Software Engineering

Identifiers

URN: urn:nbn:se:ri:diva-59872DOI: 10.1109/ICSTW55395.2022.00014Scopus ID: 2-s2.0-85133233077ISBN: 9781665496285 (print)OAI: oai:DiVA.org:ri-59872DiVA, id: diva2:1685086

Conference

14th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2022, 4 April 2022 through 13 April 2022

Note

Correspondence Address: Borg, M.; Rise Research Institutes of SwedenSweden; email: markus.borg@ri.se; Funding details: VINNOVA, 2019-05871; Funding details: Electronic Components and Systems for European Leadership, ECSEL, 876852; Funding text 1: ACKNOWLEDGMENT We acknowledge the SMILE III project financed by Vinnova (grant: 2019-05871) and VALU3S, an ECSEL Joint Undertaking under grant agreement No 876852.

Available from: 2022-08-01 Created: 2022-08-01 Last updated: 2022-08-09Bibliographically approved

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Borg, Markus

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