4.6 Article

An empirical investigation of intuitive understandability of process diagrams

Journal

COMPUTER STANDARDS & INTERFACES
Volume 48, Issue -, Pages 90-111

Publisher

ELSEVIER
DOI: 10.1016/j.csi.2016.04.006

Keywords

Process diagrams; Process notations; Understandability; BPMN; EPC; UML

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Context: Business process modeling is an activity that includes several different roles, e.g. business analysts, technical analysts and software developers. The resulting process diagrams can be either simple or complex. Nonetheless, they must be understandable to everyone, even those without the necessary knowledge of process modeling notations. Objective: The goal of our research was to evaluate intuitive understandability of diagrams, modeled in different process modeling notations, with regard to diagram complexity. Method: An empirical research was conducted, including 103 students with the goal to empirically validate the intuitiveness of the diagrams, modeled in most commonly used process modeling notations, i.e. Unified Modeling Language 2.0 Activity Diagram (UML AD), Business Process Model and Notation (BPMN) and Event Driven Process Chain (EPC). Results were analyzed using the Kruskal Wallis test, together with the Mann Whitney post hoc tests with Bonferroni correction. Results: In the case of processes with lesser complexity, participants using BPMN diagrams were significantly outperformed by those using either EPC or UML AD ones. However, when complexity of processes was higher, participants using EPC diagrams performed significantly worse than those using the UML AD and BPMN counterparts. Moreover, participants that used UML AD diagrams were not significantly outperformed by users of diagrams in other process modeling notations, regardless of their complexity. Thus, UML AD was recognized as being the most versatile notation. Conclusion: Since the existing studies do not offer a holistic overview of the intuitive understandability of process diagrams with different complexity, modeled in different process modeling notations, our research can help decide which notation to use when representing processes that have to be understandable by all stakeholders. (C) 2016 Elsevier B.V. All rights reserved.

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