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2020 | OriginalPaper | Chapter

Understanding Quality in Declarative Process Modeling Through the Mental Models of Experts

Authors : Amine Abbad Andaloussi, Christopher J. Davis, Andrea Burattin, Hugo A. López, Tijs Slaats, Barbara Weber

Published in: Business Process Management

Publisher: Springer International Publishing

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Abstract

Imperative process models have become immensely popular. However, their use is usually limited to rigid and repetitive processes. Considering the inherent flexibility in most processes in the real-world and the increased need for managing knowledge-intensive processes, the adoption of declarative languages becomes more pertinent than ever. While the quality of imperative models has been extensively investigated in the literature, little is known about the dimensions affecting the quality of declarative models. This work takes an advanced stride to investigate the quality of declarative models. Following the theory of Personal Construct Psychology (PCT), our research introduces a novel method within the Business Process Management (BPM) field to explore quality in the eyes of expert modelers. The findings of this work summarize the dimensions defining the quality of declarative models. The outcome shows the potential of PCT as a basis to discover quality dimensions and advances our understanding of quality in declarative process models.

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Title: Understanding Quality in Declarative Process Modeling Through the Mental Models of Experts
Authors: Amine Abbad Andaloussi
Christopher J. Davis
Andrea Burattin
Hugo A. López
Tijs Slaats
Barbara Weber
Publisher: Springer International Publishing
Book: Business Process Management
Print ISBN: 978-3-030-58665-2

Electronic ISBN: 978-3-030-58666-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-58666-9_24

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