Parallel In-place Model Transformations with LinTra

dc.centroE.T.S.I. Informáticaes_ES
dc.contributor.authorBurgueño-Caballero, Lola
dc.contributor.authorTroya-Castilla, Javier
dc.contributor.authorWimmer, Manuel
dc.contributor.authorVallecillo-Moreno, Antonio Jesús
dc.date.accessioned2015-07-29T09:37:16Z
dc.date.available2015-07-29T09:37:16Z
dc.date.created2015
dc.departamentoLenguajes y Ciencias de la Computación
dc.description.abstractAs software systems have grown large and complex in the last few years, the problems with which Model-Driven Development has to cope have increased at the same pace. In particular, the need to improve the performance and scalability of model transformations has become a critical issue. In previous work we introduced LinTra, a model transformation platform for the parallel execution of out-place model transformations. Nevertheless, in-place model transformations are required in several contexts and domains as well. In this paper we discuss the fundamentals of in-place model transformations in the light of their parallel execution and provide LinTra with an in-place execution mode.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.identifier.urihttp://hdl.handle.net/10630/10183
dc.language.isoenges_ES
dc.relation.eventdate23/07/2015es_ES
dc.relation.eventplaceL'Aquila, Italiaes_ES
dc.relation.eventtitleBigMDEes_ES
dc.rightsby-nc-nd
dc.rights.accessRightsopen accesses_ES
dc.subjectProgramación de ordenadoreses_ES
dc.subject.otherIn-place model transformationses_ES
dc.subject.otherPerformancees_ES
dc.subject.otherScalabilityes_ES
dc.subject.otherLindaes_ES
dc.titleParallel In-place Model Transformations with LinTraes_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication31808e70-d2ec-4318-8ead-dded38954d40
relation.isAuthorOfPublication3ea98dd7-8c4e-4639-9c87-2228ad0f56be
relation.isAuthorOfPublication7ab91778-b814-4352-aa54-17a4f298ee66
relation.isAuthorOfPublication.latestForDiscovery31808e70-d2ec-4318-8ead-dded38954d40

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