Design evolution metrics for defect prediction in object oriented systems
Empirical Software Engineering
Proceedings of the 33rd International Conference on Software Engineering
Reducing test effort: A systematic mapping study on existing approaches
Information and Software Technology
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Testing activity is the most widely adopted practice to ensure software quality. Testing effort should be focused on defect prone and critical resources i.e., on resources highly coupled with other entities of the software application.In this paper, we used search based techniques to define software metrics accounting for the role a class plays in the class diagram and for its evolution over time. We applied Chidamber and Kemerer and the newly defined metrics to Rhino, a Java ECMA script interpreter, to predict version 1.6R5 defect prone classes. Preliminary results show that the new metrics favorably compare with traditional object oriented metrics.