• DocumentCode
    1696072
  • Title

    Analysis of test case coverage using data mining technique

  • Author

    Indumathi, C.P. ; Galeebathullah, B. ; Pandithurai, O.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Anna Univ. of Technol., Tiruchirappalli, India
  • fYear
    2010
  • Firstpage
    806
  • Lastpage
    809
  • Abstract
    Coverage analysis defines the tracing of a program by test cases. It also helps in the testing process by finding the areas of a program not exercised by a set of test cases. Introducing new test cases to increase coverage, and determine the quantitative measure of the code, which is an indirect measure of quality. Coverage analysis provides more benefit when applied to an application that makes a lot of decisions rather than data-centric applications, such as a database application. This paper will discuss the issues that make test case coverage analysis a complicated task and how those issues are being addressed. We will describe the technique for improving the maximum coverage for test case of a program by using a data mining technique called Association rule Mining.
  • Keywords
    data mining; program testing; association rule mining; coverage analysis; data mining technique; test case coverage; Association rules; Correlation; Programming; Software; Software testing; Association-rule; Software testing; coverage; test case; test suite;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4244-7769-2
  • Type

    conf

  • DOI
    10.1109/ICCCCT.2010.5670732
  • Filename
    5670732