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dc.contributor.authorKoziolek, Heiko*
dc.date.accessioned2021-02-11T22:09:56Z
dc.date.available2021-02-11T22:09:56Z
dc.date.issued2008*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34626*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/55636
dc.description.abstractTo avoid design-related per­for­mance problems, model-driven performance prediction methods analyse the response times, throughputs, and re­source utilizations of software architectures before and during implementation. This thesis proposes new modeling languages and according model transformations, which allow a reusable description of usage profile dependencies to the performance of software components. Predictions based on this new methods can support performance-related design decisions.*
dc.languageEnglish*
dc.relation.ispartofseriesThe Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner*
dc.subjectQA75.5-76.95*
dc.subject.otherPerformance Engineering*
dc.subject.otherSimulation*
dc.subject.otherSoftware Component*
dc.subject.otherModel-driven Software Development*
dc.subject.otherSoftware Architecture*
dc.titleParameter dependencies for reusable performance specifications of software components*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000009096*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783866442726*
oapen.pagesXIV, 333 p.*
oapen.volume2*


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