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dc.contributor.authorKoziolek, Anne*
dc.date.accessioned2021-02-11T08:43:49Z
dc.date.available2021-02-11T08:43:49Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:01:57*
dc.identifier34366*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41639
dc.description.abstractQuality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques.*
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.otherSoftware ArchitectureOptimizationQuality AttributesPerformanceModel-based Prediction*
dc.titleAutomated Improvement of Software Architecture Models for Performance and Other Quality Attributes*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000032342*
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.isbn9783866449732*
oapen.pagesXXII, 555 p.*
oapen.volume7*


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