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In order to improve the quality of a software system, software defect prediction aims to automatically identify defective software modules for efficient software test. To predict software defect, those classification methods with static code attributes have attracted a great deal of attention. In recent years, machine learning techniques have been applied(More)
In recent years, machine learning techniques have been successfully applied into software defect prediction. Although they can yield reasonably good prediction results, there still exists much room for improvement on the aspect of prediction accuracy. Sparse representation is one of the most advanced machine learning techniques. It performs well with(More)
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