Abstract
Process modeling is becoming increasingly important for business process management initiatives. However, for being able to exploit the benefits associated with business process modeling the process models need to be understandable for its users. It has been shown in literature that the growing size of a process model has a negative effect on its understandability. Decomposition is a means for ...
Abstract
Process modeling is becoming increasingly important for business process management initiatives. However, for being able to exploit the benefits associated with business process modeling the process models need to be understandable for its users. It has been shown in literature that the growing size of a process model has a negative effect on its understandability. Decomposition is a means for splitting large process models into smaller subprocess models to increase the understandability. However, it is still unclear what properties characterize a good decomposition, while generally accepted guidelines on decomposing process models are missing. We analyze Wand and Weber’s good decomposition model as an approach for creating decomposed process models that are easy to understand. The paper at hand investigates in how far the decomposition conditions influence the understandability of a process model. Using an experiment we show that the decomposition conditions actually do have a positive influence on model understandability.
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