Towards Measuring and Quantifying the Comprehensibility of Process Models -- The Process Model Comprehension Framework
Michael Winter, R\"udiger Pryss, Matthias Fink, Manfred, Reichert

TL;DR
This paper introduces the Process Model Comprehension Framework (PMCF), a novel approach to measure and quantify how well process models are understood from both modeler and reader perspectives, aiding in improving comprehension.
Contribution
The PMCF is the first framework to systematically quantify process model comprehension using 96 metrics, integrating communication and conceptual modeling theories.
Findings
PMCF successfully evaluated in a survey with 131 participants.
Practical case study with 33 participants demonstrated PMCF's applicability.
Framework helps identify pitfalls and improve process model understanding.
Abstract
Process models constitute crucial artifacts in modern information systems and, hence, the proper comprehension of these models is of utmost importance in the utilization of such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure a proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the Process Model Comprehension Framework (PMCF) as a first step towards the measurement and quantification of the perspectives of process modelers and readers as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF…
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Knowledge Management and Sharing · Information Technology Governance and Strategy
