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Optimal Product Line Architectures for the Automotive Industry

dc.contributor.authorWägemann, Tobias
dc.contributor.authorTavakoli Kolagari, Ramin
dc.contributor.authorSchmid, Klaus
dc.contributor.editorSchaefer, Ina
dc.contributor.editorKaragiannis, Dimitris
dc.contributor.editorVogelsang, Andreas
dc.contributor.editorMéndez, Daniel
dc.contributor.editorSeidl, Christoph
dc.date.accessioned2018-01-23T21:43:26Z
dc.date.available2018-01-23T21:43:26Z
dc.date.issued2018
dc.description.abstractThe 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.en
dc.identifier.isbn978-3-88579-674-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/14962
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-280
dc.subjectarchitecture optimization
dc.subjectmulti-objective
dc.subjectvariability
dc.subjectsoftware product lines
dc.subjectautomotive
dc.titleOptimal Product Line Architectures for the Automotive Industryen
dc.typeText/Conference Paper
gi.citation.endPage134
gi.citation.publisherPlaceBonn
gi.citation.startPage119
gi.conference.date21.-23. Februar 2018
gi.conference.locationBraunschweig
gi.conference.sessiontitleWissenschaftliche Beiträge

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