Abstract
Nowadays, business process management plays an important role in the management of organizations. More and more organizations describe their operations as business processes. It is common for organizations to have collections of thousands of business processes, but due to privacy reasons, these collections are often not, or only partially, available to researchers. However, to test the scalability of techniques it is necessary to have collections the size of which is several orders of magnitude larger than the collections that are available. Therefore, this paper proposes a technique to generate such collections of process models based on the properties of real-life collections. Where existing techniques focus on the structure of the process models, the technique proposed in this paper also generates brief task labels. This allows BPM experimentation with process collections that have laboratory-set quantitative parameters and real-world qualitative characteristics.
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Yan, Z., Dijkman, R., Grefen, P. (2014). Generating Synthetic Process Model Collections with Properties of Labeled Real-Life Models. In: Ouyang, C., Jung, JY. (eds) Asia Pacific Business Process Management. AP-BPM 2014. Lecture Notes in Business Information Processing, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-08222-6_6
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DOI: https://doi.org/10.1007/978-3-319-08222-6_6
Publisher Name: Springer, Cham
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