A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness
Understanding understandability of conceptual models --- what are we actually talking about?
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Group Consensus in Business Process Modeling: A Measure and Its Application
International Journal of e-Collaboration
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The quality of business process models is an increasing concern as enterprise-wide modelling initiatives have to rely heavily on non-expert modellers. Quality in this context can be directly related to the actual usage of these process models, in particular to their understandability and modifiability. Since these attributes of a model can only be assessed a posteriori, it is of central importance for quality management to identify significant predictors for them. A variety of structural metrics have recently been proposed, which are tailored to approximate these usage characteristics. In this paper, we address a gap in terms of validation for metrics regarding understandability and modifiability. Our results demonstrate the predictive power of these metrics. These findings have strong implications for the design of modelling guidelines.