LEADER 01758nam  2200373z- 450 
001 9910346931703321
005 20210211
010   $a1000009096
035   $a(CKB)4920000000101205
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55636
035   $a(oapen)doab55636
035   $a(EXLCZ)994920000000101205
100   $a20202102d2008      u|         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aParameter dependencies for reusable performance specifications of software components
210   $cKIT Scientific Publishing$d2008
215   $a1 online resource (XIV, 333 p. p.)
225 1 $aThe Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
311 08$a3-86644-272-6 
330   $aTo avoid design-related per­for­mance problems, model-driven performance prediction methods analyse the response times, throughputs, and re­source utilizations of software architectures before and during implementation. This thesis proposes new modeling languages and according model transformations, which allow a reusable description of usage profile dependencies to the performance of software components. Predictions based on this new methods can support performance-related design decisions.
610   $aModel-driven Software Development
610   $aPerformance Engineering
610   $aSimulation
610   $aSoftware Architecture
610   $aSoftware Component
700   $aKoziolek$b Heiko$4auth$0868266
906   $aBOOK
912   $a9910346931703321
996   $aParameter dependencies for reusable performance specifications of software components$93020212
997   $aUNINA