DocumentCode :
1549621
Title :
Measuring and modeling usage and reliability for statistical Web testing
Author :
Kallepalli, Chaitanya ; Tian, Jeff
Author_Institution :
Iris Labs Inc, Plano, TX, USA
Volume :
27
Issue :
11
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
1023
Lastpage :
1036
Abstract :
Statistical testing and reliability analysis can be used effectively to assure quality for Web applications. To support this strategy, we extract Web usage and failure information from existing Web logs. The usage information is used to build models for statistical Web testing. The related failure information is used to measure the reliability of Web applications and the potential effectiveness of statistical Web testing. We applied this approach to analyze some actual Web logs. The results demonstrated the viability and effectiveness of our approach
Keywords :
Markov processes; information resources; statistical analysis; system monitoring; Markov chain; Web applications; Web logs; Web usage; World Wide Web; failure information; reliability analysis; statistical Web testing; usage measurement; Application software; Data mining; Failure analysis; Information analysis; Quality assurance; Sea measurements; Software systems; Statistical analysis; Testing; Web server;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/32.965342
Filename :
965342
Link To Document :
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