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Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search

Authors:

Mahshid Helali Moghadam, Markus Borg , Seyed Jalaleddin Mousavirad

Publication Type:

Conference/Workshop Paper

Venue:

2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, Co-located with ICSE 2021


Abstract

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.

Bibtex

@inproceedings{Helali Moghadam6270,
author = {Mahshid Helali Moghadam and Markus Borg and Seyed Jalaleddin Mousavirad},
title = {Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search},
month = {May},
year = {2021},
booktitle = {2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, Co-located with ICSE 2021},
url = {http://www.es.mdh.se/publications/6270-}
}