Title
Towards thresholds of control flow complexity measures for BPMN models
Abstract
Business process models are considered to be a good mechanism for communication among stakeholders and are a key instrument in the analysis and design of information systems. It is therefore important to design business process models with a high level of quality, which can be discovered through measurement application. Several measurement initiatives exist in the literature, but these measures are only useful in real world decision making if we also have criteria with which to establish the goodness of models. We consider that measures with thresholds and decision criteria form indicators. Indicators allow us to make decisions by using the values of the measures which models should not exceed to ascertain whether the model is good in practice. In this paper we present the initial empirical results from which thresholds for the Control-Flow Complexity measure applied in BPMN models have been obtained according to the Bender method. Our findings reveal that there are different levels of understandability depending on the number of decision nodes: a very easily understandable model would have no more than 6 xor nodes, 1 or nodes and 1 and nodes, versus the 46 xor nodes, 14 or nodes and 7 and nodes which would constitute a model with a very difficult level of understandability.
Year
DOI
Venue
2011
10.1145/1982185.1982496
SAC
Keywords
Field
DocType
towards threshold,different level,good mechanism,real world decision,control flow complexity measure,bpmn model,business process model,difficult level,decision node,decision criteria form indicator,xor node,understandable model,measurement,control flow,information system,business process
Information system,Multiple-criteria decision analysis,Business process,Computer science,Control flow,Operations research,Information complexity,Business process modeling,Management science,Business Process Model and Notation
Conference
Citations 
PageRank 
References 
20
0.86
21
Authors
4
Name
Order
Citations
PageRank
Laura Sánchez-González11106.25
Francisco Ruiz217123.37
Félix García3200.86
Jorge Cardoso435415.56