Which type of metrics are useful to deal with class imbalance in software defect prediction?

Using quality metrics yields better prediction results rather than static code metrics in imbalanced data sets. As the count of project cloning increases, the number of defects decreases. Thus, approaches, related to the class imbalance, should be evaluated not only in terms of static code metrics but also for quality metrics.