• DocumentCode
    707987
  • Title

    Classifying and Qualifying GUI Defects

  • Author

    Lelli, Valeria ; Blouin, Arnaud ; Baudry, Benoit

  • Author_Institution
    INSA Rennes, Rennes, France
  • fYear
    2015
  • fDate
    13-17 April 2015
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Graphical user interfaces (GUIs) are integral parts of software systems that require interactions from their users. Software testers have paid special attention to GUI testing in the last decade, and have devised techniques that are effective in finding several kinds of GUI errors. However, the introduction of new types of interactions in GUIs (e.g., direct manipulation) presents new kinds of errors that are not targeted by current testing techniques. We believe that to advance GUI testing, the community needs a comprehensive and high level GUI fault model, which incorporates all types of interactions. The work detailed in this paper establishes 4 contributions: 1) A GUI fault model designed to identify and classify GUI faults. 2) An empirical analysis for assessing the relevance of the proposed fault model against failures found in real GUIs. 3) An empirical assessment of two GUI testing tools (i.e. GUITAR and Jubula) against those failures. 4) GUI mutants we´ve developed according to our fault model. These mutants are freely available and can be reused by developers for benchmarking their GUI testing tools.
  • Keywords
    graphical user interfaces; pattern classification; program testing; software tools; GUI defect classification; GUI defect qualification; GUI fault model; GUI testing tools; GUIs; graphical user interfaces; software systems; Analytical models; Graphical user interfaces; Human computer interaction; Shape; Standards; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Testing, Verification and Validation (ICST), 2015 IEEE 8th International Conference on
  • Conference_Location
    Graz
  • Type

    conf

  • DOI
    10.1109/ICST.2015.7102582
  • Filename
    7102582