A comparative survey of scenario-based to state-based model synthesis approaches

  • Authors:
  • Hongzhi Liang;Juergen Dingel;Zinovy Diskin

  • Affiliations:
  • Queen's University, Kingston, Ontario, Canada;Queen's University, Kingston, Ontario, Canada;Queen's University, Kingston, Ontario, Canada

  • Venue:
  • Proceedings of the 2006 international workshop on Scenarios and state machines: models, algorithms, and tools
  • Year:
  • 2006

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Abstract

Model Driven Development and Use Case Driven Development methodologies have inspired the proposal of a variety of software engineering approaches that synthesize state-based models from scenario-based models. However, little work has been done to comprehensively compare these different synthesis approaches. In this paper, we define a set of comparison criteria, and survey 21 different synthesis approaches presented in the literature based on the criteria. The differences and similarities are highlighted in the comparison results. We then discuss the challenges that current approaches may face and provide suggestions for future work for state-based model syntheses.