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dc.contributor.authorKrogmann, Klaus*
dc.date.accessioned2021-02-12T01:16:21Z
dc.date.available2021-02-12T01:16:21Z
dc.date.issued2012*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34590*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/57875
dc.description.abstractModel-based performance prediction systematically deals with the evaluation of software performance to avoid for example bottlenecks, estimate execution environment sizing, or identify scalability limitations for new usage scenarios. Such performance predictions require up-to-date software performance models. This book describes a new integrated reverse engineering approach for the reconstruction of parameterised software performance models (software component architecture and behaviour).*
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.otherReengineering*
dc.subject.otherComponent-Based Software Architecture*
dc.subject.otherPerformance Model*
dc.subject.otherReverse Engineering*
dc.titleReconstruction of Software Component Architectures and Behaviour Models using Static and Dynamic Analysis*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000025617*
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.isbn9783866448049*
oapen.pagesXVII, 371 p.*
oapen.volume4*


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