Chapter

Conceptual Modeling – ER 2010

Volume 6412 of the series Lecture Notes in Computer Science pp 458-463

Prediction of Business Process Model Quality Based on Structural Metrics

  • Laura Sánchez-GonzálezAffiliated withAlarcos Research Group, TSI Department, University of Castilla La Mancha
  • , Félix GarcíaAffiliated withAlarcos Research Group, TSI Department, University of Castilla La Mancha
  • , Jan MendlingAffiliated withHumboldt-Universität zu Berlin
  • , Francisco RuizAffiliated withAlarcos Research Group, TSI Department, University of Castilla La Mancha
  • , Mario PiattiniAffiliated withAlarcos Research Group, TSI Department, University of Castilla La Mancha

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Abstract

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.

Keywords

Business process measurement correlation analysis regression analysis BPMN