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Total number of failures of a software system can help practitioners to have a better understanding of the software quality. In this paper, we propose a model to predict the total number of software failures in a software system by analyzing the failure data from testing using models based on Zipf's law together with the information on code coverage. Failure data and code coverage are combined in...
Although the value of using static code attributes to learn defect predictor has been widely debated, there is no doubt that software defect predictions can effectively improve software quality and testing efficiency. Many data mining methods have already been introduced into defect predictions. We noted there have several versions of defect predictor based on Naive Bayes theory, and analyzed their...
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