An Ontological Model of an Information System
IEEE Transactions on Software Engineering
On the criteria to be used in decomposing systems into modules
Communications of the ACM
Business process modelling with ARIS: a practical guide
Business process modelling with ARIS: a practical guide
Workflow Modeling: Tools for Process Improvement and Application Development
Workflow Modeling: Tools for Process Improvement and Application Development
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
YAWL: yet another workflow language
Information Systems
Journal of Systems and Software
Information Systems Research
Using Controlled Experiments for Validating UML Statechart Diagrams Measures
Software Process and Product Measurement
Modularity in Process Models: Review and Effects
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Empirical Software Engineering
Seven process modeling guidelines (7PMG)
Information and Software Technology
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
Evaluating the effect of composite states on the understandability of UML statechart diagrams
MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems
An empirical study of the nesting level of composite states within UML statechart diagrams
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
A Study Into the Factors That Influence the Understandability of Business Process Models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Making the case for measuring mental effort
Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling
Empirical Evaluation of Test Driven Modeling
International Journal of Information System Modeling and Design
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Modularity is a widely advocated strategy for handling complexity in conceptual models. Nevertheless, a systematic literature review revealed that it is not yet entirely clear under which circumstances modularity is most beneficial. Quite the contrary, empirical findings are contradictory, some authors even show that modularity can lead to decreased model understandability. In this work, we draw on insights from cognitive psychology to develop a framework for assessing the impact of hierarchy on model understandability. In particular, we identify abstraction and the split-attention effect as two opposing forces that presumably mediate the influence of modularity. Based on our framework, we describe an approach to estimate the impact of modularization on understandability and discuss implications for experiments investigating the impact of modularization on conceptual models.