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

被引:13
作者
Moghadam, Mahshid Helali [1 ,2 ]
Borg, Markus [1 ]
Mousavirad, Seyed Jalaleddin [3 ]
机构
[1] RISE Res Inst Sweden, Gothenburg, Sweden
[2] Malardalen Univ, Vasteras, Sweden
[3] Hakim Sabzevari Univ, Dept Comp Engn, Sabzevar, Iran
来源
2021 IEEE/ACM 14TH INTERNATIONAL WORKSHOP ON SEARCH-BASED SOFTWARE TESTING (SBST 2021) | 2021年
关键词
search-based software testing; cyber-physical systems; advanced driver assistance systems; deep learning; automotive simulators;
D O I
10.1109/SBST52555.2021.00018
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:40 / 41
页数:2
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