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A Catalogue of Optimization Techniques for Triple Graph Grammars

dc.contributor.authorLeblebici, Erhan
dc.contributor.authorAnjorin, Anthony
dc.contributor.authorSchürr, Andy
dc.contributor.editorFill, Hans-Georg
dc.contributor.editorKaragiannis, Dimitris
dc.contributor.editorReimer, Ulrich
dc.date.accessioned2019-03-19T14:06:54Z
dc.date.available2019-03-19T14:06:54Z
dc.date.issued2014
dc.description.abstractBidirectional model transformation languages are typically declarative, being able to provide unidirectional operationalizations from a common specification automatically. Declarative languages have numerous advantages, but ensuring runtime efficiency, especially without any knowledge of the underlying transformation engine, is often quite challenging. Triple Graph Grammars (TGGs) are a prominent example for a completely declarative, bidirectional language and have been successfully used in various application scenarios. Although an optimization phase based on profiling results is often a necessity to meet runtime requirements, there currently exists no systematic classification and evaluation of optimization strategies for TGGs, i.e., the optimization process is typically an ad-hoc process. In this paper, we investigate the runtime scalability of an exemplary bidirectional model-to-text transformation. While systematically optimizing the implementation, we introduce, classify and apply a series of optimization strategies. We provide in each case a quantitative measurement and qualitative discussion, establishing a catalogue of current and future optimization techniques for TGGs in particular and declarative rule-based model transformation languages in general.en
dc.identifier.isbn978-388579-619-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20941
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-225
dc.titleA Catalogue of Optimization Techniques for Triple Graph Grammarsen
dc.typeText/Conference Paper
gi.citation.endPage240
gi.citation.publisherPlaceBonn
gi.citation.startPage225
gi.conference.date19.-21. März 2014
gi.conference.locationWien, Österreich
gi.conference.sessiontitleRegular Research Papers

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