• DocumentCode
    2268410
  • Title

    Improving Testing of Enterprise Systems by Model-Based Testing on Graphical User Interfaces

  • Author

    Wieczorek, Sebastian ; Stefanescu, Alin

  • Author_Institution
    SAP Res., Darmstadt, Germany
  • fYear
    2010
  • fDate
    22-26 March 2010
  • Firstpage
    352
  • Lastpage
    357
  • Abstract
    Software development and testing of Enterprise Resource Planning (ERP) systems demands dedicated methods to tackle its special features. As manual testing is not able to systematically test ERP systems due to the involved complexity, an efficient testing approach should be automatic. Since the underlying business processes of enterprise systems are realized at the level of the user interface (UI), system level testing is the dominant testing approach. The recent architectural shift to service-based enterprise systems demands to apply blackbox testing techniques. Model-based testing is a method that enables a high degree of automation for black-box testing, but the current research and practice usually does not address the UI. In this paper we describe the state of the art and state of the practice in order to motivate further research activities in this area.
  • Keywords
    enterprise resource planning; graphical user interfaces; program testing; software engineering; ERP; blackbox testing techniques; enterprise resource planning; enterprise systems testing; graphical user interfaces; model based testing; software development; Application software; Automatic testing; Enterprise resource planning; Graphical user interfaces; Semiconductor optical amplifiers; Service oriented architecture; Software systems; Software testing; System testing; User interfaces; Enterprise Systems; Model-based Testing; Service-oriented Architecture; System-level Testing; UI Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Computer Based Systems (ECBS), 2010 17th IEEE International Conference and Workshops on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4244-6537-8
  • Electronic_ISBN
    978-1-4244-6538-5
  • Type

    conf

  • DOI
    10.1109/ECBS.2010.59
  • Filename
    5457750