Principal component distribution function based software defect prediction imbalance data processing method
A software defect prediction and principal component distribution technology, which is applied in the fields of electrical digital data processing, software testing/debugging, computer parts, etc.
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[0022] The technical solution of the invention will be described in detail below in conjunction with the accompanying drawings. Such as figure 1 As shown, the present invention first utilizes the principal component analysis technique to reduce the dimensionality of the data to avoid the disaster of dimensionality in the experiment; the Tomek algorithm is used to remove the boundary samples and noise samples in the non-defective sample set, thus avoiding the loss of partial information of the non-defective sample set ; Use the fitted distribution function to generate random numbers to synthesize a new defective sample set, and use the "3 times standard deviation" principle to remove the values at both ends of the data, which is very close to the distribution of the original data; by calculating the newly synthesized defective sample set The Euclidean distance between the sample and the original sample set removes the noise samples in the newly synthesized defective sample se...
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