Abstract
In this paper we present a semantic lifting methodology for heterogeneous process models, depicted with various control flow-oriented notations, aimed to enable their simulation on a generic level. This allows for an integrated simulation of hybrid process models, such as end-to-end models or multi- layer models, in which different parts or subprocesses are modeled with different notations. Process simulation outcome is not limited to determining quantitative process measures as lead time, costs, or resource capacity, it can also contribute greatly to a better understanding of the process structure, it helps with identifying interface problems and process execution requirements, and can support a multitude of areas that benefit from step by step process simulation - process-oriented requirement analysis, user interface design, generation of business-related test cases, compilation of handbooks and training material derived from processes.
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Prackwieser, C., Buchmann, R., Grossmann, W., Karagiannis, D. (2013). Towards a Generic Hybrid Simulation Algorithm Based on a Semantic Mapping and Rule Evaluation Approach. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_12
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DOI: https://doi.org/10.1007/978-3-642-39787-5_12
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