Programmer performance and the effects of the workplace
ICSE '85 Proceedings of the 8th international conference on Software engineering
Visualization and the process of modeling: a cognitive-theoretic view
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Guidelines of Business Process Modeling
Business Process Management, Models, Techniques, and Empirical Studies
Process models representing knowledge for action: a revised quality framework
European Journal of Information Systems - Special issue: Action in language, organisations and information systems
Communications of the ACM
Semantics and analysis of business process models in BPMN
Information and Software Technology
Faster and More Focused Control-Flow Analysis for Business Process Models Through SESE Decomposition
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
Data & Knowledge Engineering
Business Process Modeling: Current Issues and Future Challenges
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Seven process modeling guidelines (7PMG)
Information and Software Technology
Generating Petri net state spaces
ICATPN'07 Proceedings of the 28th international conference on Applications and theory of Petri nets and other models of concurrency
Quality and perceived usefulness of process models
Proceedings of the 2010 ACM Symposium on Applied Computing
How the structuring of domain knowledge helps casual process modelers
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Soundness of workflow nets: classification, decidability, and analysis
Formal Aspects of Computing
Thresholds for error probability measures of business process models
Journal of Systems and Software
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
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In an investigation into the process of process modeling, we examined how modeling behavior relates to the quality of the process model that emerges from that. Specifically, we considered whether (i) a modeler's structured modeling style, (ii) the frequency of moving existing objects over the modeling canvas, and (iii) the overall modeling speed is in any way connected to the ease with which the resulting process model can be understood. In this paper, we describe the exploratory study to build these three conjectures, clarify the experimental set-up and infrastructure that was used to collect data, and explain the used metrics for the various concepts to test the conjectures empirically. We discuss various implications for research and practice from the conjectures, all of which were confirmed by the experiment.