Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search 2021 (English)In: Proceedings - 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, SBST 2021, Institute of Electrical and Electronics Engineers Inc. , 2021, p. 40-41Conference paper, Published paper (Refereed)

Abstract [en]

Deeper is a simulation-based test generator that uses an evolutionary process, i.e., an archive-based NSGA-II augmented with a quality population seed, for generating test cases to test a deep neural network-based lane-keeping system. This paper presents Deeper briefly and summarizes the results of Deeper's participation in the Cyber-physical systems (CPS) testing competition at SBST 2021. 

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers Inc. , 2021. p. 40-41

Keywords [en]

advanced driver assistance systems, automotive simulators, cyber-physical systems, deep learning, search-based software testing, Deep neural networks, Embedded systems, Cyber-physical systems (CPS), Evolutionary process, Lane keeping, Multi objective, NSGA-II, Test case, Software testing

National Category

Software Engineering

Identifiers

URN: urn:nbn:se:ri:diva-55669DOI: 10.1109/SBST52555.2021.00018Scopus ID: 2-s2.0-85111105647ISBN: 9781665445719 (print)OAI: oai:DiVA.org:ri-55669DiVA, id: diva2:1583735

Conference

14th IEEE/ACM International Workshop on Search-Based Software Testing, SBST 2021, 22 May 2021 through 30 May 2021

Note

 Funding details: 2019-05871; Funding details: Fellowships Fund Incorporated, FFI; Funding details: VINNOVA; Funding details: Lunds Universitet; Funding text 1: This work has been funded by Vinnova through the ITEA3 European IVVES project (https://itea3.org/project/ivves.html). Furthermore, the project received financial support from the SMILE III project financed by Vinnova, FFI, Fordonsstrategisk forskning och innovation under the grant number: 2019-05871 and Kompetensfonden at Campus Helsingborg, Lund University, Sweden.

Available from: 2021-08-09 Created: 2021-08-09 Last updated: 2021-08-09Bibliographically approved

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Helali Moghadam, MahshidBorg, Markus

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