Abstract
Choosing the adequate size of process activities (process granularity) is a problem during process design. Vanderfeesten et al. have proposed a heuristic based on a process granularity metric and postulated a hypothesis concerning error probability about its use. The heuristic prefers process designs with high cohesion and low coupling—a principle originating in software engineering.
In this paper, we present an experimentation system consisting of a small web-based workflow engine for empirically analyzing the error probability hypothesis. Furthermore, the results of a conducted experiment with 165 students using this experimentation system are reported. The experiment does not support the hypothesis. Instead, an alternative error probability model explaining the results is suggested.
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References
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Melcher, J., Seese, D. (2010). Empirical Analysis of a Proposed Process Granularity Heuristic. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds) Business Process Management Workshops. BPM 2009. Lecture Notes in Business Information Processing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12186-9_48
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DOI: https://doi.org/10.1007/978-3-642-12186-9_48
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