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dc.creatorRoos Frantz, Fabricia 
dc.creatorBenavides Cuevas, David Felipe 
dc.creatorRuiz Cortés, Antonio 
dc.date.accessioned2015-06-29T14:55:25Z
dc.date.available2015-06-29T14:55:25Z
dc.date.issued2009
dc.identifier.otherhttp://industrialized-software.wdfiles.com/local--files/kiss-ase-2009/roos-frantz.pdf
dc.identifier.urihttp://hdl.handle.net/11441/26330
dc.description.abstractFeature Model (FM) and Orthogonal Variability Model (OVM) are both modelling approaches employed to represent variability in software product line engineering. The former is the most popular and it is mainly applied to domain engineering. The later is a more recent approach mainly used to document variability in design and realisation artifacts. in the scenario of interest of our research, which focuses on Application Lifecycle Management environment, it would be useful rely on the FM to OVM transformation. To the best of our knowledge, in the literature, there is no proposal for such transformation. in this paper, we propose an algorithm to transform FM into OVM. This algorithm transforms the variable features of a FM into an OVM, thus providing an explicit view of variability of software product line. When working on these transformation, some issues came to light, such as how to preserve semantics. We discuss some of them and suggest a possible solution to transform FM into OVM by extending OVM.
dc.formatapplication/pdf
dc.language.isoeng
dc.relation.ispartofKnowledge Industry Survival Strategy Initiative, Kiss Workshop @ ASE2009, Auckland, New Zealand
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.titleFeature Model to Orthogonal Variability Model Transformation Towards Interoperability Between Tools
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/26330

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