Configurable Software Performance Completions through Higher-Order Model Transformations

dc.creatorHappe, Lucia
dc.date.accessioned2021-02-22T15:41:26Z
dc.date.accessioned2022-09-23T18:30:17Z
dc.date.available2021-02-22T15:41:26Z
dc.date.available2022-09-23T18:30:17Z
dc.date.created2021-02-22T15:41:26Z
dc.identifier9783866449909
dc.identifierhttps://directory.doabooks.org/handle/20.500.12854/43799
dc.identifierhttp://hdl.handle.net/20.500.12010/17559
dc.identifier10.5445/KSP/1000033385
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3502088
dc.description.abstractChillies is a novel approach for variable model transformations closing the gap between abstract architecture models, used for performance prediction, and required low-level details. We enable variability of transformations using chain of generators based on the Higher-Order Transformation (HOT). HOTs target different goals, such as template instantiation or transformation composition. In addition, we discuss state-dependent behavior in prediction models and quality of model transformations.
dc.languageeng
dc.publisherKIT Scientific Publishing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.rightshttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectModel Completions
dc.subjectModel Variabilitat Performance
dc.subjectPalladio Component Mode
dc.titleConfigurable Software Performance Completions through Higher-Order Model Transformations


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