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Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments

dc.contributor.authorHauck, Michael*
dc.date.accessioned2021-02-11T08:43:48Z
dc.date.available2021-02-11T08:43:48Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34608*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41638
dc.description.abstractThe software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experiments and integrated into performance prediction tools. The approach is applied to experiments for detecting different CPU, OS, and virtualization properties, and validated in different case studies.*
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.otherExecution Environment*
dc.subject.otherMeasurements*
dc.subject.otherExperiments*
dc.subject.otherMetamodel*
dc.subject.otherSoftware Performance Prediction*
dc.titleAutomated Experiments for Deriving Performance-relevant Properties of Software Execution Environments*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000037233*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731501381*
oapen.pagesXVI, 315 p.*
oapen.volume13*
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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