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The fourth generation legacy system used for designing rubber compounds contains valuable information related to rules of business, knowledge, methods and results in compounding. In order to leverage the accumulated knowledge or design new applications related to compounding it is important to define a domain model based on the existing system used with remarkable success in the past twenty years. Due to the lack of both source and binary code, standard software reverse engineering methods could not be applied in this situation. In the process of manufacturing rubber products, the greatest attention is focused on a further understanding and improvement of the development of new rubber compound formulations, design technology and improvement of the existing ones. A basic problem that needs to be resolved is what kind of information is needed about a particular rubber compound. The problem of building an elastomer formulation from the ground up is complex and can easily entail thousands of choices by the compounder. This problem is not a trivial one, and it can only be resolved on the basis of available science-based elastomer technology as well as software engineering methods and models. Modelling in problem space is used as a research method in this paper. Model of problem space (MOPS) deals with creating and understanding of the problem, primarily the problem that a potential user of the system faces. The modelling output transcends both data and code and results in a suite of visual models or diagrams created with use of Unified Modelling Language (UML).

Model in problem space of a legacy system for the support of design and production of rubber compounds