Optimal Product Line Architectures for the Automotive Industry
Zusammenfassung
The creation of product line architectures is a difficult and complex task. The resulting architectures must support the required system variabilities as well as further quality attributes. In the automotive domain, product lines of software-intensive system models have a great diversity of products, which leads to vast design spaces. Finding optimal product line architectures as part of the system design process requires the consideration of a variety of trade-offs. In practice, this challenge cannot be solved manually for all but the smallest problems, therefore an automated solution is required. Our contribution is the generation of a sound mathematical formalization of the problem. This formalization makes the product line optimization problem accessible to various established multi-objective optimization techniques. The applicability of the chosen approach is shown by means of applying a commercial tool for multi-criteria decision making.
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- BibTeX
Wägemann, T., Tavakoli Kolagari, R. & Schmid, K.,
(2018).
Optimal Product Line Architectures for the Automotive Industry.
In:
Schaefer, I., Karagiannis, D., Vogelsang, A., Méndez, D. & Seidl, C.
(Hrsg.),
Modellierung 2018.
Bonn:
Gesellschaft für Informatik e.V..
(S. 119-134).
@inproceedings{mci/Wägemann2018,
author = {Wägemann, Tobias AND Tavakoli Kolagari, Ramin AND Schmid, Klaus},
title = {Optimal Product Line Architectures for the Automotive Industry},
booktitle = {Modellierung 2018},
year = {2018},
editor = {Schaefer, Ina AND Karagiannis, Dimitris AND Vogelsang, Andreas AND Méndez, Daniel AND Seidl, Christoph} ,
pages = { 119-134 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Wägemann, Tobias AND Tavakoli Kolagari, Ramin AND Schmid, Klaus},
title = {Optimal Product Line Architectures for the Automotive Industry},
booktitle = {Modellierung 2018},
year = {2018},
editor = {Schaefer, Ina AND Karagiannis, Dimitris AND Vogelsang, Andreas AND Méndez, Daniel AND Seidl, Christoph} ,
pages = { 119-134 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| modellierung2018-07.pdf | 540.0Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-674-9
ISSN: 1617-5468
Datum: 2018
Sprache:
(en)
(en)
Typ: Text/Conference Paper

