• DocumentCode
    2322902
  • Title

    Test-Data Generation for Web Services Based on Contract Mutation

  • Author

    Jiang, Ying ; Li, Ying-Na ; Hou, Shan-Shan ; Zhang, Lu

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    281
  • Lastpage
    286
  • Abstract
    Software testing is one of the most important techniques used to assure the quality of Web services at present. Test-data generation is an important topic in Web services testing. The quality of test data will influence the efficiency and cost when testing Web services. Based on the contract-based mutation testing technique, this paper presents a method of automated test-data generation for Web services. First, according to the description information and contracts in WSDL documents of Web services, initial test data are generated automatically by the random method. Then the test data are selected using contract mutation testing. This method can generate a test suite meeting a certain contract mutation score, which indicates the quality and efficiency of testing. Finally, we have developed a prototype on the Microsoft .NET platform, and carried out some experiments. The results have shown that the proposed method is effective in automated test-data generation for Web services.
  • Keywords
    Web services; program testing; Microsoft .NET; Web services; contract mutation; contract-based mutation testing technique; software testing; test data generation; Automatic testing; Contracts; Costs; Electronic equipment testing; Genetic mutations; Reliability engineering; Simple object access protocol; Software quality; Software testing; Web services; Contract Mutation; Test-Data Generation; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Secure Software Integration and Reliability Improvement, 2009. SSIRI 2009. Third IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3758-0
  • Type

    conf

  • DOI
    10.1109/SSIRI.2009.49
  • Filename
    5325365