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Software defect prediction strives to improve software security by helping testers locate the software defects accurately. The data redundancy caused by the overmuch attributes in defects data set will make the prediction accuracy decrease. A model based on locally linear embedding and support vector machine (LLE-SVM) is proposed to solve this problem in(More)
Conventional centroid location algorithms are all in two dimensions. In order to solve the problem that the conventional centroid location algorithms are useless when the point spread function is smaller than the size of the detector, the research is about the centroid location algorithm in three dimensions based on big data. By using the time parameter to(More)
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