Understanding Quality in Conceptual Modeling
IEEE Software
Understanding someone else's code: analysis of experiences
Journal of Systems and Software
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Comprehending Object and Process Models: An Empirical Study
IEEE Transactions on Software Engineering
ACM Transactions on Computer-Human Interaction (TOCHI)
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Aris-Business Process Modeling
Aris-Business Process Modeling
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Workflow Verification: Finding Control-Flow Errors Using Petri-Net-Based Techniques
Business Process Management, Models, Techniques, and Empirical Studies
Communications of the ACM - E-services: a cornucopia of digital offerings ushers in the next Net-based evolution
Business-to-business workflow interoperation based on process-views
Decision Support Systems
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
A family of experiments to validate metrics for software process models
Journal of Systems and Software
Process models representing knowledge for action: a revised quality framework
European Journal of Information Systems - Special issue: Action in language, organisations and information systems
Factors and measures of business process modelling: model building through a multiple case study
European Journal of Information Systems - Special section: PACIS 2004
How do practitioners use conceptual modeling in practice?
Data & Knowledge Engineering - Special issue: ER 2004
Modularity in Process Models: Review and Effects
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness
Policy-Driven Process Mapping (PDPM): Discovering process models from business policies
Decision Support Systems
Seven process modeling guidelines (7PMG)
Information and Software Technology
Business Process Modeling: Perceived Benefits
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Activity labeling in process modeling: Empirical insights and recommendations
Information Systems
What makes process models understandable?
BPM'07 Proceedings of the 5th international conference on Business process management
IT requirements of business process management in practice - an empirical study
BPM'10 Proceedings of the 8th international conference on Business process management
Syntax highlighting in business process models
Decision Support Systems
Comparing the control-flow of EPC and petri net from the end-user perspective
BPM'05 Proceedings of the 3rd international conference on Business Process Management
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
A study on the effects of routing symbol design on process model comprehension
Decision Support Systems
Eye-tracking the factors of process model comprehension tasks
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Real-time risk monitoring in business processes: A sensor-based approach
Journal of Systems and Software
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In order to make good decisions about the design of information systems, an essential skill is to understand process models of the business domain the system is intended to support. Yet, little knowledge to date has been established about the factors that affect how model users comprehend the content of process models. In this study, we use theories of semiotics and cognitive load to theorize how model and personal factors influence how model viewers comprehend the syntactical information of process models. We then report on a four-part series of experiments, in which we examined these factors. Our results show that additional semantical information impedes syntax comprehension, and that theoretical knowledge eases syntax comprehension. Modeling experience further contributes positively to comprehension efficiency, measured as the ratio of correct answers to the time taken to provide answers. We discuss implications for practice and research.