• 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