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The traditional voltage and frequency control software defect detection technology does not consider the classification of software defects, and has the problem of low detection accuracy. The software defect correlation detection principle were analyzed using discriminant function test software to identify sample treatment, introduced statistical pattern recognition algorithm of original data processing software, based on defect correlation probability distribution, determine the associated defects of calculation of defect feature values to classify the defect correlation using Bayesian classifier, complete classification of anti interference software defect correlation in order to achieve high precision detection, defect correlation. The experimental results show that the detection technology can accurately classify the software defects and effectively improve the detection accuracy on the premise of ensuring strong anti-interference.