Towards thresholds of control flow complexity measures for BPMN models
Proceedings of the 2011 ACM Symposium on Applied Computing
Quality indicators for business process models from a gateway complexity perspective
Information and Software Technology
Design pattern-based extension of class hierarchies to support runtime invariant checks
FASE'13 Proceedings of the 16th international conference on Fundamental Approaches to Software Engineering
Reusability of open-source program code: a conceptual model and empirical investigation
ACM SIGSOFT Software Engineering Notes
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Object-oriented metrics have been validated empirically as measures of design complexity. These metrics can be used to mitigate potential problems in the software complexity. However, there are few studies that were conducted to formulate the guidelines, represented as threshold values, to interpret the complexity of the software design using metrics. Classes can be clustered into low and high risk levels using threshold values. In this paper, we use a statistical model, derived from the logistic regression, to identify threshold values for the Chidamber and Kemerer (CK) metrics. The methodology is validated empirically on a large open-source system—the Eclipse project. The empirical results indicate that the CK metrics have threshold effects at various risk levels. We have validated the use of these thresholds on the next release of the Eclipse project—Version 2.1—using decision trees. In addition, the selected threshold values were more accurate than those were selected based on either intuitive perspectives or on data distribution parameters. Furthermore, the proposed model can be exploited to find the risk level for an arbitrary threshold value. These findings suggest that there is a relationship between risk levels and object-oriented metrics and that risk levels can be used to identify threshold effects.