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2018 | OriginalPaper | Buchkapitel

A Framework for Quality Measurement of BPMN Process Models

verfasst von : Anacleto Correia, António Gonçalves, Mário Simões-Marques

Erschienen in: Computational Science and Its Applications – ICCSA 2018

Verlag: Springer International Publishing

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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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Metadaten
Titel
A Framework for Quality Measurement of BPMN Process Models
verfasst von
Anacleto Correia
António Gonçalves
Mário Simões-Marques
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-95174-4_34

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