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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.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
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*
oapen.relation.isbn9783866448049*
oapen.pagesXVII, 371 p.*
oapen.volume4*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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