01769nam 2200373z- 450 9910347057103321202102111000037233(CKB)4920000000101945(oapen)https://directory.doabooks.org/handle/20.500.12854/41638(oapen)doab41638(EXLCZ)99492000000010194520202102d2014 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAutomated Experiments for Deriving Performance-relevant Properties of Software Execution EnvironmentsKIT Scientific Publishing20141 online resource (XVI, 315 p. p.)The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner3-7315-0138-4 The 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.Execution EnvironmentExperimentsMeasurementsMetamodelSoftware Performance PredictionHauck Michaelauth1323456BOOK9910347057103321Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments3035575UNINA