• DocumentCode
    1164926
  • Title

    Evaluating Web software reliability based on workload and failure data extracted from server logs

  • Author

    Tian, Jeff ; Rudraraju, Sunita ; Li, Zhao

  • Author_Institution
    Dept. of Comput. Sci., Southern Methodist Univ., Dallas, TX, USA
  • Volume
    30
  • Issue
    11
  • fYear
    2004
  • Firstpage
    754
  • Lastpage
    769
  • Abstract
    We characterize usage and problems for Web applications, evaluate their reliability, and examine the potential for reliability improvement. Based on the characteristics of Web applications and the overall Web environment, we classify Web problems and focus on the subset of source content problems. Using information about Web accesses, we derive various measurements that can characterize Web site workload at different levels of granularity and from different perspectives. These workload measurements, together with failure information extracted from recorded errors, are used to evaluate the operational reliability for source contents at a given Web site and the potential for reliability improvement. We applied this approach to the Web sites www.seas.smu.edu and www.kde.org. The results demonstrated the viability and effectiveness of our approach.
  • Keywords
    Internet; Web sites; content management; information retrieval; software quality; software reliability; Internet; Web access; Web server log; Web site workload; Web software reliability; failure data extraction; software quality; source content problem; Application software; Computer Society; Data mining; Internet; Software measurement; Software reliability; Software systems; Web server; Web sites; World Wide Web; 65; Index Terms- World Wide Web; WWW; Web applications and Web server logs; and Internet; quality and reliability; reliability modeling; workload measurement;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.2004.87
  • Filename
    1359769