Improving software reliability prediction through multi-criteria based dynamic model selection and combination
A decision tree based software reliability prediction approach is proposed. The approach is based on the predictive learning of multi-criteria. Existing model selection methods are inadequate to long-term prediction. The approach dynamically finds the informative criteria for long/short term prediction. The approach enables more accurate and robust software reliability prediction.
software reliability prediction decision trees multi criteria