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Model transformation chains in model-driven performance engineering: experiences and future research needs

dc.contributor.authorFritzsche, Mathias
dc.contributor.authorGilani, Wasif
dc.contributor.authorLämmel, Ralf
dc.contributor.authorJouault, Frédéric
dc.contributor.editorEngels, Gregor
dc.contributor.editorKaragiannis, Dimitris
dc.contributor.editorMayr, Heinrich C.
dc.date.accessioned2019-01-17T12:59:34Z
dc.date.available2019-01-17T12:59:34Z
dc.date.issued2010
dc.description.abstractWe gained experiences in implementing rule based model transformations within an industrial case study called Model-Driven Performance Engineering (MDPE). Similar to other MDE scenarios, these transformations have been implemented via multiple transformation steps interconnected in an automated model transformation chain. In this short paper, we use the MDPE case study to demonstrate reasons for decomposing model transformations and discuss disadvantages in terms of execution costs. Based on these experiences, we propose, as an input for future research, an architecture to optimize decomposed model transformation chains.en
dc.identifier.isbn978-3-88579-255-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19699
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2010
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-161
dc.titleModel transformation chains in model-driven performance engineering: experiences and future research needsen
dc.typeText/Conference Paper
gi.citation.endPage220
gi.citation.publisherPlaceBonn
gi.citation.startPage213
gi.conference.date24.-26. März 2010
gi.conference.locationKlagenfurt
gi.conference.sessiontitleRegular Research Papers

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