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Monitoring the Execution of Declarative Model Transformations

dc.contributor.authorGroner, Raffaela
dc.contributor.authorGylstorff, Sophie
dc.contributor.authorTichy, Matthias
dc.contributor.editorKelter, Udo
dc.date.accessioned2023-02-27T13:46:48Z
dc.date.available2023-02-27T13:46:48Z
dc.date.issued2019
dc.description.abstractModel transformations, applied at design and run time, are key artifacts in Model-Driven Software Engineering. The monitoring of a transformation’s execution is a prerequisite to enable a software engineer to identify performance bottlenecks and improve transformations. Monitoring is particularly relevant for declarative model transformations since the order of execution is not explicitly defined but instead the result of internal heuristics of the transformation engine. In this paper, we present how we monitor the execution of Henshin model transformations using Kieker as well as the resulting monitoring overhead. We show that the monitoring overhead depends on the size of the input model and that it is between 17.03% and 28.44%.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40478
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 39, Heft 3
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectModel-Driven Software Engineering
dc.subjectmodel transformation
dc.subjectmonitoring
dc.titleMonitoring the Execution of Declarative Model Transformationsen
dc.typeText/Conference Paper
gi.citation.endPage30
gi.citation.publisherPlaceBonn
gi.citation.startPage28
gi.conference.date8.-9. November 2018
gi.conference.locationHildesheim
gi.conference.sessiontitle9th Symposium on Software Performance (SSP 2018)

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