Deriving Goal-oriented Performance Models by Systematic Experimentation

dc.creatorWestermann, Dennis
dc.date.accessioned2021-02-23T14:54:45Z
dc.date.available2021-02-23T14:54:45Z
dc.date.created2014
dc.description.abstractPerformance modelling can require substantial effort when creating and maintaining performance models for software systems that are based on existing software. Therefore, this thesis addresses the challenge of performance prediction in such scenarios. It proposes a novel goal-oriented method for experimental, measurement-based performance modelling. We validated the approach in a number of case studies including standard industry benchmarks as well as a real development scenario at SAP.spa
dc.format.extentXIII, 276 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.5445/KSP/1000037926
dc.identifier.isbn9783731501657
dc.identifier.otherhttps://directory.doabooks.org/handle/20.500.12854/44775
dc.identifier.urihttps://hdl.handle.net/20.500.12010/17651
dc.language.isoengspa
dc.publisherKIT Scientific Publishingspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-sa/4.0/
dc.rights.localAbierto (Texto Completo)spa
dc.subjectPerformance Softwarespa
dc.subject.lembAnálisis de sistemasspa
dc.subject.lembIngeniería de softwarespa
dc.subject.lembArquitectura de softwarespa
dc.titleDeriving Goal-oriented Performance Models by Systematic Experimentationspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa

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