LEADER 01769nam  2200373z- 450 
001 9910347057103321
005 20210211
010   $a1000037233
035   $a(CKB)4920000000101945
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41638
035   $a(oapen)doab41638
035   $a(EXLCZ)994920000000101945
100   $a20202102d2014      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAutomated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
210   $cKIT Scientific Publishing$d2014
215   $a1 online resource (XVI, 315 p. p.)
225 1 $aThe Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
311 08$a3-7315-0138-4 
330   $aThe 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.
610   $aExecution Environment
610   $aExperiments
610   $aMeasurements
610   $aMetamodel
610   $aSoftware Performance Prediction
700   $aHauck$b Michael$4auth$01323456
906   $aBOOK
912   $a9910347057103321
996   $aAutomated Experiments for Deriving Performance-relevant Properties of Software Execution Environments$93035575
997   $aUNINA