A taxonomy of model-based testing approaches

  • Authors:
  • Mark Utting;Alexander Pretschner;Bruno Legeard

  • Affiliations:
  • School of Computing and Mathematical Sciences, University of Waikato, New Zealand;Certifiable Trustworthy IT Systems, Karlsruhe Institute of Technology, Germany;Smartesting and Laboratoire d'Informatique de l'Université de Franche-Comté, Besançon, France

  • Venue:
  • Software Testing, Verification & Reliability
  • Year:
  • 2012

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Abstract

Model-based testing (MBT) relies on models of a system under test and/or its environment to derive test cases for the system. This paper discusses the process of MBT and defines a taxonomy that covers the key aspects of MBT approaches. It is intended to help with understanding the characteristics, similarities and differences of those approaches, and with classifying the approach used in a particular MBT tool. To illustrate the taxonomy, a description of how three different examples of MBT tools fit into the taxonomy is provided. Copyright © 2011 John Wiley & Sons, Ltd.