• DocumentCode
    2291227
  • Title

    Automated metamorphic testing

  • Author

    Gotlieb, Arnaud ; Botella, Bernard

  • Author_Institution
    IRISA, INRIA, Rennes, France
  • fYear
    2003
  • fDate
    3-6 Nov. 2003
  • Firstpage
    34
  • Lastpage
    40
  • Abstract
    Usual techniques for automatic test data generation are based on the assumption that a complete oracle will be available during the testing process. However, there are programs for which this assumption is unreasonable. Recently, Chen et al. (1998, 2001) proposed to overcome this obstacle by using known relations over the input data and their unknown expected outputs to seek a subclass of faults inside the program. In this paper, we introduce an automatic testing framework able to check these so-called metamorphic relations. The framework makes use of constraint logic programming techniques to find test data that violate a given metamorphic-relation. Circumstances where it can also prove that the program satisfies this relation are presented. The first experimental results we got with a prototype tool build on the top of the test data generator INKA, show that this methodology can be completely automated.
  • Keywords
    constraint handling; program testing; program verification; software fault tolerance; software prototyping; INKA; automated metamorphic testing; automatic testing; constraint logic programming; fault-based testing; program testing; structural testing; test data generation; test data generator; Application software; Automatic testing; Computer applications; Data mining; Logic programming; Logic testing; Manuals; Prototypes; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2003. COMPSAC 2003. Proceedings. 27th Annual International
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2020-0
  • Type

    conf

  • DOI
    10.1109/CMPSAC.2003.1245319
  • Filename
    1245319