The technique of software defect prediction is used to predict the future defects of software. To ensure the quality of software, we try to use software defect prediction techniques to improve software quality. In this study, we propose a defects prediction model, called the PDA. We collect defects information from our test management system and use data mining methodology to analyze collecting data. The proposed data mining methodology is Quantitative Association Rule Mining of Apriori algorithm. To predict potential defects of software, we verify the defects of the feasibility of prediction model. We design the experiments to evaluate our proposed methodology, and the experimental results show that the proposed model can improve the accuracy rate of defects prediction. And we can apply the model to achieve the defect prediction and software quality improvement purposes.
Apriori