DocumentCode :
3420381
Title :
Analysis and prediction of performance for evolving architectures
Author :
Eskenazi, E.M. ; Fioukov, A.V. ; Hammer, D.K. ; Obbink, H. ; Pronk, B.
Author_Institution :
Dept. of Math. & Comput. Sci., Tech. Univ. of Eindhoven, Netherlands
fYear :
2004
fDate :
31 Aug.-3 Sept. 2004
Firstpage :
22
Lastpage :
31
Abstract :
This work describes a method for the "analysis and prediction of performance for evolving architectures " (APPEAR). The method aims at performance estimation of adapted parts of software product families during the architecting phase. It combines both structural and statistical techniques in a flexible way, that is, it allows choosing which part of the component is structurally described, modeled and simulated, and which part is statistically evaluated. The method was exemplified by case studies in the consumer electronics and the medical imaging system domains. The results of the initial validation of the method are encouraging.
Keywords :
object-oriented programming; software architecture; software performance evaluation; consumer electronics; medical imaging system domain; software architecture; software performance estimation; Application software; Biomedical imaging; Computer architecture; Delay; Mathematical model; Mathematics; Medical simulation; Performance analysis; Phase estimation; Software performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Euromicro Conference, 2004. Proceedings. 30th
ISSN :
1089-6503
Print_ISBN :
0-7695-2199-1
Type :
conf
DOI :
10.1109/EURMIC.2004.1333352
Filename :
1333352
Link To Document :
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