Scipediacontent: Scipediacontent moved page Draft Content 353274456 to Briand et al 2016a

2021-02-02T04:39:04Z

Scipediacontent moved page Draft Content 353274456 to Briand et al 2016a

Scipediacontent: Created page with " == Abstract == Recent years have seen a proliferation of complex Advanced Driver Assistance Systems (ADAS), in particular, for use in autonomous cars. These systems consist..."

2021-02-02T04:38:57Z

Created page with " == Abstract == Recent years have seen a proliferation of complex Advanced Driver Assistance Systems (ADAS), in particular, for use in autonomous cars. These systems consist..."

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== Abstract ==

Recent years have seen a proliferation of complex Advanced Driver Assistance Systems (ADAS), in particular, for use in autonomous cars. These systems consist of sensors and cameras as well as image processing and decision support software components. They are meant to help drivers by providing proper warnings or by preventing dangerous situations. In this paper, we focus on the problem of design time testing of ADAS in a simulated environment. We provide a testing approach for ADAS by combining multi- objective search with surrogate models developed based on neural networks. We use multi-objective search to guide testing towards the most critical behaviors of ADAS. Surrogate modeling enables our testing approach to explore a larger part of the input search space within limited computational resources. We characterize the condition under which the multi-objective search algorithm behaves the same with and without surrogate modeling, thus showing the accuracy of our approach. We evaluate our approach by applying it to an industrial ADAS system. Our experiment shows that our approach automatically identifies test cases indicating critical ADAS behaviors. Further, we show that combining our search algorithm with surrogate modeling improves the quality of the generated test cases, especially under tight and realistic computational resources.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1145/2970276.2970311 http://dx.doi.org/10.1145/2970276.2970311] under the license https://creativecommons.org/licenses/by-nc-sa

* [https://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf https://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf]

* [http://orbilu.uni.lu/handle/10993/28071 http://orbilu.uni.lu/handle/10993/28071],
: [http://doi.acm.org/10.1145/2970276.2970311 http://doi.acm.org/10.1145/2970276.2970311] under the license cc-by-nc-sa

* [https://dblp.uni-trier.de/db/conf/kbse/ase2016.html#AbdessalemNBS16 https://dblp.uni-trier.de/db/conf/kbse/ase2016.html#AbdessalemNBS16],
: [https://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf https://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf],
: [https://dl.acm.org/citation.cfm?doid=2970276.2970311 https://dl.acm.org/citation.cfm?doid=2970276.2970311],
: [https://core.ac.uk/display/42923634 https://core.ac.uk/display/42923634],
: [https://ieeexplore.ieee.org/document/7582746 https://ieeexplore.ieee.org/document/7582746],
: [http://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf http://orbilu.uni.lu/bitstream/10993/28071/1/ASE16BenAbdessalem.pdf],
: [https://doi.org/10.1145/2970276.2970311 https://doi.org/10.1145/2970276.2970311],
: [https://publications.uni.lu/handle/10993/28071 https://publications.uni.lu/handle/10993/28071],
: [https://academic.microsoft.com/#/detail/2495601248 https://academic.microsoft.com/#/detail/2495601248]

* [http://dl.acm.org/ft_gateway.cfm?id=2970311&ftid=1783758&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=2970311&ftid=1783758&dwn=1],
: [http://dx.doi.org/10.1145/2970276.2970311 http://dx.doi.org/10.1145/2970276.2970311]

under the license http://www.acm.org/publications/policies/copyright_policy#Background

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Briand et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 353274456 to Briand et al 2016a

Scipediacontent: Created page with " == Abstract == Recent years have seen a proliferation of complex Advanced Driver Assistance Systems (ADAS), in particular, for use in autonomous cars. These systems consist..."