Software defect prediction model based on AODE and resampling

To evaluate software defect distribution exactly,a software defect prediction model based on AODE and resampling is put forward.Firstly,some common Bayesian classifiers are introduced briefly,and their advantages and deficiencies are pointed out.Then, software defect metric units and resampling methods are analyzed,and multi-AODE classifier formed by multiple AODE 2-classifier is designed.Comparative experiments show that multi-AODE classifier has better classification accuracy performance than some common Bayesian classifier.On this basis,the software defect prediction model based on multi-AODE classifier and resampling is constructed. Finally,collected defect data samples are used to verify the model and the result indicated that the model is better than the common Bayesian models both in veracity and stability of prediction.