Abstract
Complexity has undesirable effects on, among others, the correctness, maintainability, and understandability of business process models. Yet, measuring complexity of business process models is a rather new area of research with only a small number of contributions. In this paper, we survey findings from neighboring disciplines on how complexity can be measured. In particular, we gather insight from software engineering, cognitive science, and graph theory, and discuss in how far analogous metrics can be denned on business process models. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Cardoso, J., Mendling, J., Neumann, G., & Reijers, H. A. (2006). A discourse on complexity of process models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4103 LNCS, pp. 117–128). Springer Verlag. https://doi.org/10.1007/11837862_13
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