• DocumentCode
    1966344
  • Title

    Automated functional testing of search engine

  • Author

    Jin, Lingzi

  • Author_Institution
    New Media Technol. Dept., Yell Group, Reading
  • fYear
    2009
  • fDate
    18-19 May 2009
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    This paper describes the construction of an automated test framework for search engine and reports our current practice in establishing a process for test automation. The paper presents the technical solutions that overcome the difficulties in search engine testing, which involve large volume of data, complicated ranking rules and randomization in ordering search results. One reason that many test automation efforts failed in industry is because automated scripts are not developed and structured for future maintenance and evolution. The test framework enables effective and efficient reuse and maintenance of test scripts. The paper also discusses issues related to the process of test automation. They are equally as important as overcoming technical barriers. All of these discussed above have been applied to the automated functional testing of a commercial search engine.
  • Keywords
    automatic testing; search engines; automated functional testing; randomization; ranking rules; search engine testing; test automation; Automatic testing; Automation; Databases; Displays; Filters; Logic testing; Project management; Quality assurance; Search engines; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation of Software Test, 2009. AST '09. ICSE Workshop on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-3711-5
  • Type

    conf

  • DOI
    10.1109/IWAST.2009.5069046
  • Filename
    5069046