• DocumentCode
    187841
  • Title

    Pattern Based GUI Testing for Mobile Applications

  • Author

    Costa, Pyramo ; Paiva, Ana C. R. ; Nabuco, Miguel

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Porto, Porto, Portugal
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    66
  • Lastpage
    74
  • Abstract
    This paper presents a study aiming to assess the feasibility of using the Pattern Based GUI Testing approach, PBGT, to test mobile applications. PBGT is a new model based testing approach that aims to increase systematization, reusability and diminish the effort in modelling and testing. It is based on the concept of User Interface Test Patterns (UITP) that contain generic test strategies for testing common recurrent behaviour, the so-called UI Patterns, on GUIs through its possible different implementations after a configuration step. Although PBGT was developed having web applications in mind, it is possible to develop drivers for other platforms in order to test a wide set of applications. However, web and mobile applications are different and only the development of a new driver to execute test cases over mobile applications may not be enough. This paper describes a study aiming to identify the adaptations and updates the PBGT should undergo in order to test mobile applications.
  • Keywords
    Internet; graphical user interfaces; mobile computing; pattern recognition; program testing; PBGT; UITP; Web applications; mobile application testing; model based testing; pattern based GUI testing; recurrent behaviour testing; user interface test patterns; Androids; Connectors; Graphical user interfaces; Humanoid robots; Mobile communication; Optical character recognition software; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality of Information and Communications Technology (QUATIC), 2014 9th International Conference on the
  • Conference_Location
    Guimaraes
  • Print_ISBN
    978-1-4799-6132-0
  • Type

    conf

  • DOI
    10.1109/QUATIC.2014.16
  • Filename
    6984094