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Model-driven derivation of product architectures

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Show simple item record Botterweck, Goetz O'Brien, Liam Thiel, Steffen 2012-03-26T09:30:36Z 2012-03-26T09:30:36Z 2007
dc.description peer-reviewed en_US
dc.description.abstract Product Derivation is one of the central activities in Software Product Lines (SPL). One of the main challenges of the process of product derivation is dealing with complexity, which is caused by the large number of artifacts and dependencies between them. Another major challenge is maximizing development efficiency and reducing time-to-market, while at the same time producing high quality products. One approach to overcome these challenges is to automate the derivation process. To this end, this paper focuses on one particular activity of the derivation process; the derivation of the product-specific architecture and describes how this activity can be automated using a model-driven approach. The approach derives the product-specific architecture by selectively copying elements from the product-line architecture. The decision, which elements are included in the derived architecture, is based on a product-specific feature configuration. We present a prototype that implements the derivation as a model transformation described in the Atlas Transformation Language (ATL). We conclude with a short overview of related work and directions for future research. en_US
dc.language.iso eng en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartofseries 22nd IEEE/ACM Inernational Conference on Automated Software Engineering;2007
dc.rights "© ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in 22nd IEEE/ACM International Conference on Automated Software Engineeering. en_US
dc.subject product derivation en_US
dc.subject model-driven approaches en_US
dc.subject model transformation en_US
dc.subject ATL en_US
dc.title Model-driven derivation of product architectures 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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