On the correlation between process model metrics and errors
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Refactoring Process Models in Large Process Repositories
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
On a Quest for Good Process Models: The Cross-Connectivity Metric
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Improved model management with aggregated business process models
Data & Knowledge Engineering
Seven process modeling guidelines (7PMG)
Information and Software Technology
Understanding the occurrence of errors in process models based on metrics
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Business process quality metrics: log-based complexity of workflow patterns
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
What makes process models understandable?
BPM'07 Proceedings of the 5th international conference on Business process management
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Quality assessment of business process models based on thresholds
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Towards thresholds of control flow complexity measures for BPMN models
Proceedings of the 2011 ACM Symposium on Applied Computing
Thresholds for error probability measures of business process models
Journal of Systems and Software
Data-bound variables for WS-BPEL executable processes
Computer Languages, Systems and Structures
Quality indicators for business process models from a gateway complexity perspective
Information and Software Technology
Do external feedback loops improve the design of self-adaptive systems? a controlled experiment
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Architecture-centric support for adaptive service collaborations
ACM Transactions on Software Engineering and Methodology (TOSEM)
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Organizations are increasingly faced with the challenge of managing business processes, workflows, and, recently, Web processes. One important aspect of processes that has been overlooked is their complexity. High complexity in processes may result in bad understandability, errors, defects, and exceptions leading processes to need more time to develop, test, and maintain. Therefore, excessive complexity should be avoided. This paper describes an experiment designed to validate the Control-Flow Complexity (CFC) metric that we have proposed in our previous work. In order to demonstrate that our CFC metric serves the purpose it was defined for, we have carried out an empirical validation by means of a controlled experiment. The explanation of the steps followed to do the experiment, the results, and the conclusions obtained are the main objectives of this paper.