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

Journal
Business Process Management
ISSN
1611-3349
Type
conference paper
Date Issued
2020
Author(s)
;
Christopher J. Davis
;
Andrea Burattin
;
Hugo A. López
;
Tijs Slaats
;
DOI
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.
Book title
Business Process Management. BPM 2020. Lecture Notes in Computer Science, vol 12168. Springer
Publisher
Springer International Publishing
Official URL
URL