• DocumentCode
    2879625
  • Title

    Test Data Generation for Derived Types in C Program

  • Author

    Wang, Zheng ; Yu, Xiao ; Sun, Tao ; Pu, Geguang ; Ding, Zuohua ; Hu, Jueliang

  • Author_Institution
    Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
  • fYear
    2009
  • fDate
    29-31 July 2009
  • Firstpage
    155
  • Lastpage
    162
  • Abstract
    Test data generation is one of the important tasks during software testing. This paper proposes an approach to generating test cases automatically for the unit test of C programs with derived types including pointers, structures and arrays. Our approach combines symbolic execution and concrete execution. The approach captures operations on variables precisely by concrete execution, and thus it is capable of handling derived types. Benefited from symbolic execution, accessing variables as array index can be solved by a substitution strategy. The substitution strategy also translates a path constraint involving variables of derived type to the one containing only primitive variables. An implementation of this approach is integrated into our test case generation tool called CAUT. Experimental results show that our approach is effective to generate test data for derived types.
  • Keywords
    C language; data analysis; program testing; symbol manipulation; C program; concrete execution; data handling; derived type; software testing; symbolic execution; test data generation; Automatic testing; Concrete; Data structures; Laboratories; Logic testing; Programming; Software engineering; Software testing; Sun; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Theoretical Aspects of Software Engineering, 2009. TASE 2009. Third IEEE International Symposium on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3757-3
  • Type

    conf

  • DOI
    10.1109/TASE.2009.10
  • Filename
    5198498