• DocumentCode
    2863536
  • Title

    Creating effective load models for performance testing with incomplete empirical data

  • Author

    Barber, Scott

  • fYear
    2004
  • fDate
    11-11 Sept. 2004
  • Firstpage
    51
  • Lastpage
    59
  • Abstract
    For all that the effectiveness of performance testing in terms of the accuracy of load simulation is a common topic of conversation and concern among people and organizations that build or depend on Web-based applications, testing a Web site in such a way as to reliably predict performance is still often more of an art than a science. More than a few brilliant minds have dedicated their careers to this complex topic, and several have published detailed and mathematically sound methods to plan for, predict and model performance characteristics very accurately - as long as there is sufficient empirical data to work from.
  • Keywords
    Internet; Web design; program testing; Web site testing; Web-based applications; incomplete empirical data; load models; load simulation; performance testing; Analytical models; Art; Load modeling; Performance analysis; Performance evaluation; Predictive models; Software performance; State estimation; Testing; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Site Evolution, Sixth IEEE International Workshop on (WSE'04)
  • Conference_Location
    Chicago, IL, USA
  • ISSN
    1550-4441
  • Print_ISBN
    0-7695-2224-6
  • Type

    conf

  • DOI
    10.1109/WSE.2004.10002
  • Filename
    1410995