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A Framework for Quality Measurement of BPMN Process Models

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Abstract

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.

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Acknowledgment

The work was funded by the Portuguese Ministry of Defense and by the Portuguese Navy/Escola Naval/CINAV.

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Correspondence to Anacleto Correia .

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Correia, A., Gonçalves, A., Simões-Marques, M. (2018). A Framework for Quality Measurement of BPMN Process Models. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-95174-4_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-95174-4

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