• DocumentCode
    2797494
  • Title

    Construct Metadata Model based on Coupling Information to Increase the Testability of Component-based Software

  • Author

    Liangli, Ma ; Houxiang, Wang ; Yongjie, Li

  • Author_Institution
    Naval Univ. of Eng., Wuhan
  • fYear
    2007
  • fDate
    13-16 May 2007
  • Firstpage
    24
  • Lastpage
    31
  • Abstract
    A software component must be tested every time it is reused, to guarantee the quality of both the component itself and the system in which it is to be integrated. So how to increase testability of component has become a key technology in the software engineering community. This paper introduces a method to increase component testability. Firstly we analyze the meanings of component testability and the effective ways to increase testability. Then we give some definitions on component coupling testing criterion. And we further give the definitions of DU-I(definition-use information) and OP- Vs (observation-point values). Base on these, we introduce a definition-use table, which includes DU-I and OP-Vs item, to help component testers understanding and observing the component better. Then a framework of testable component based on above DU-table is given. These facilities provide ways to detect errors, to observe state variables by observation-points based monitor mechanism. And we adopt coupling-based testing using information DU-table provided. Lastly, we applied the method to our application software developed before, and generate some test cases. And our method is compared with Orso method and Kan method using the same example, presenting the comparison results. The relevant results illustrate the validity of our method, effectively generating test cases and killing more mutants.
  • Keywords
    meta data; software engineering; Kan method; Orso method; component testability; component-based software; coupling information; definition-use information; metadata model; observation-point values; software engineering; Automatic testing; Computer errors; Controllability; Educational institutions; Information analysis; Observability; Software engineering; Software quality; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    1-4244-1030-4
  • Electronic_ISBN
    1-4244-1031-2
  • Type

    conf

  • DOI
    10.1109/AICCSA.2007.370860
  • Filename
    4230935