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Design and evaluation of a customizable multi-domain reference architecture on top of product lines of self-driving heavy vehicles - an industrial case study

Autor(en):
Schroeder, Jan [DBLP] ;
Holzner, Daniela [DBLP] ;
Berger, Christian [DBLP] ;
Hoel, Carl-Johan [DBLP] ;
Laine, Leo [DBLP] ;
Magnusson, Anders [DBLP]
Zusammenfassung
Self-driving vehicles are of high interest for academia and industry at the moment. Particularly, in the transportation domain they exhibit a huge potential to increase companies' competitiveness by automating delivery tasks or construction work. This industrial case study reports on the process of developing and evaluating a multi-domain reference architecture concerned with commercial transport mission planning, execution, and tracking for self-driving vehicles. Therefore, internal and external stakeholders as well as development documents were consulted. The resulting reference architecture is evaluated based on its underlying non-functional requirements ensuring early confirmation of compliance with stakeholder needs. A concrete variant of the architecture was also deployed on a Volvo FMX truck and practically evaluated in an exemplary construction site setting. This paper summarizes our work Schroeder et al. [Sc15] published at 2015 ICSE.
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Schroeder, J., Holzner, D., Berger, C., Hoel, C.-J., Laine, L. & Magnusson, A., (2016). Design and evaluation of a customizable multi-domain reference architecture on top of product lines of self-driving heavy vehicles - an industrial case study. In: Knoop, J. & Zdun, U. (Hrsg.), Software Engineering 2016. Bonn: Gesellschaft für Informatik e.V.. (S. 77-78).
@inproceedings{mci/Schroeder2016,
author = {Schroeder, Jan AND Holzner, Daniela AND Berger, Christian AND Hoel, Carl-Johan AND Laine, Leo AND Magnusson, Anders},
title = {Design and evaluation of a customizable multi-domain reference architecture on top of product lines of self-driving heavy vehicles - an industrial case study},
booktitle = {Software Engineering 2016},
year = {2016},
editor = {Knoop, Jens AND Zdun, Uwe} ,
pages = { 77-78 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-646-6
ISSN: 1617-5468
Datum: 2016
Sprache: en (en)
Typ: Text/Conference Paper
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  • P252 - Software Engineering 2016 [58]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.