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
Link To Document :
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