Prediction of Business Process Model Quality Based on Structural Metrics
The quality of business process models is an increasing concern as enterprise-wide modelling initiatives have to rely heavily on non-expert modellers. Quality in this context can be directly related to the actual usage of these process models, in particular to their understandability and modifiability. Since these attributes of a model can only be assessed a posteriori, it is of central importance for quality management to identify significant predictors for them. A variety of structural metrics have recently been proposed, which are tailored to approximate these usage characteristics. In this paper, we address a gap in terms of validation for metrics regarding understandability and modifiability. Our results demonstrate the predictive power of these metrics. These findings have strong implications for the design of modelling guidelines.
KeywordsBusiness process measurement correlation analysis regression analysis BPMN
Unable to display preview. Download preview PDF.
- 2.ISO/IEC, ISO Standard 9000-2000: Quality Management Systems: Fundamentals and Vocabulary (2000)Google Scholar
- 4.Zelkowitz, M., Wallace, D.: Esperimental models for validating technology. IEEE Computer, Computing practices (1998)Google Scholar
- 5.ISO/IEC, 9126-1, Software engineering - product quality - Part 1: Quality Model (2001)Google Scholar
- 8.OMG. Business Process Modeling Notation (BPMN), Final Adopted Specification (2006), http://www.omg.org/bpm
- 9.ExperimentsURL (2009), http://alarcos.inf-cr.uclm.es/bpmnexperiments/