Nowadays organizations are collaborative and process-intensive. Measurement of process models have a variety of applications including process models’ quality evaluation, process improvement and task planning. The objective of this work is to propose a framework for quantifying and linking different quality characteristics of process models built with a standard process modeling language: BPMN. The framework supports the derivation of measures regarding internal quality characteristics of process models, to enable measurement of the quality perceived by process models’ users, at the end of the modeling process. To this aim, a measurement terminology for process modeling was set up in order to support process models’ measures instantiation. This was done through the specification of a set of activities to be developed in order to derive the base measures and indirect measures for prediction of process models’ quality. This work follows a product-oriented approach, by which, quality is assumed as being multi-dimensional concept, with several interrelated characteristics.
CITATION STYLE
Correia, A., Gonçalves, A., & Simões-Marques, M. (2018). A framework for quality measurement of BPMN process models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10964 LNCS, pp. 424–437). Springer Verlag. https://doi.org/10.1007/978-3-319-95174-4_34
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