• 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