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Visual configuration in automotive software product lines

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dc.contributor.author Botterweck, Goetz
dc.contributor.author Thiel, Steffen
dc.contributor.author Crawley, Ciarán
dc.contributor.author Nestor, Daren
dc.contributor.author PreuBner, André
dc.date.accessioned 2012-03-21T10:38:43Z
dc.date.available 2012-03-21T10:38:43Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10344/2110
dc.description peer-reviewed en_US
dc.description.abstract Software Product Line engineering has emerged as a viable and important software development paradigm in the automotive industry. It allows companies to realise significant improvements in time-to-market, cost, productivity, and system quality. One major difficulty with software product line engineering is related to the fact that a product line of industrial size can easily incorporate thousands of variation points. This scale of variability can become extremely complex to manage resulting in a product configuration process that bears significant costs. This paper introduces a meta-model and research tool that employs visualisation and interaction techniques to improve product configuration in high-variability product lines. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation.ispartofseries 32nd Annual IEEE International Computer Software and Applications Conference;2008, pp 1070-1075
dc.relation.uri http://dx.doi.org/10.1109/COMPSAC.2008.108
dc.rights “© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en_US
dc.subject software product line engineering en_US
dc.subject automotive software en_US
dc.title Visual configuration in automotive software product lines en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.relation.projectid 03/CE2/I303_1


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