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dc.creatorHauck, Michael
dc.date.accessioned2021-01-20T20:19:05Z
dc.date.available2021-01-20T20:19:05Z
dc.date.created2014
dc.identifier.isbn978-3-731-50138-1
dc.identifier.issn1867-0067
dc.identifier.otherhttps://www.ksp.kit.edu/9783731501381
dc.identifier.urihttp://hdl.handle.net/20.500.12010/16783
dc.format.extent346 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherKIT Scientific Publishingspa
dc.subjectRendimiento de softwarespa
dc.titleAutomated Experiments for Deriving Performance-relevant Properties of Software Execution Environmentsspa
dc.subject.lembCiencias de la computaciónspa
dc.subject.lembSoftwarespa
dc.subject.lembSistema de softwarespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doi10.5445/KSP/1000037233
dc.description.abstractenglishThe 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.spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-sa/4.0/legalcode


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