Abstract

This work provides an overall framework and tools that together substantially reduce the time and effort required to construct process models that are fit for purpose. These key factors are: (a) the efficient reuse of existing model information, (b) the development of a multi-model environment, and (c) the characterisation of models through appropriate model metrics. The paper concentrates on tools to improve current modelling practice, and describes a framework addressing “Model Families” in which these tools can work together for greater productivity. A Model Family is a hierarchical collection of models which provide many different representations of the same system. These are collated in a manner which focuses on the similarities and differences between each model in the collection. The specific differences between individual models are recorded as model members. Activating a particular member sees it take dominance within its family of alternatives, becoming an active part of the model description. The use of families and members makes it possible to store a large number of models of the same system in the one computer document, encouraging information reuse, and allowing the development of advanced meta-modelling tools which can potentially deliver substantial reduction in model development times.

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