Deriving use case from business process models developed using Norm Analysis

  • Boris Shishkov
  • Zhiwu Xie
  • Kecheng Liu
  • Jan L. G. Dietz


Bridging software design and business process investigation appears to be a crucial research problem in modern software development. With respect to the UML-based software design, a fundamental question to be answered in solving the mentioned problem, is: How to find all relevant use cases, based on sound business process modelling? The adoption of business process modelling as a basis for identification of use cases has been studied by different researchers — it has been studied how use cases could be derived based on DEMO and Petri Net business process models. The goal of the this chapter is to tackle the problem from a new perspective in order to study the appropriateness of placing a use case model on a semiotic analysis. This could be helpful for identifying strengths of semiotic models, which could be useful for deriving use cases. We consider in particular Norm Analysis to be a proper semiotic tool for this purpose. We demonstrate the derivation of use cases based on Norm Analysis by means of a case study.


Business Process Business Process Model Norm Analysis Enterprise Information System Semiotic Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Boris Shishkov
  • Zhiwu Xie
  • Kecheng Liu
  • Jan L. G. Dietz

There are no affiliations available

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