A software defect prediction method and software defect prediction system

Abstract

The invention provides a software defect prediction method and system. The software defect prediction method and system are used for resolving the problem that existing software defect prediction is low in accuracy. The software defect prediction system comprises a dimension reduction processing unit, an SVM training unit and a defect prediction unit. The software defect prediction method comprises the steps that firstly, dimension reduction processing is conducted on a first training dataset according to the LLE, a lower-dimension vector, mapped into a low-dimension space, of each sample point in the first training dataset is obtained, and a second training dataset composed of the lower-dimension vectors is obtained; secondly, training is conducted on an SVM classifier according to the second training dataset, an optimal classification hyperplane function of the SVM classifier is obtained, and the trained SVM classifier is further obtained; thirdly, detect prediction is conducted on software to be predicted according to the trained SVM classifier.

Description

technical field [0001] The invention relates to the field of software security, in particular to a software defect prediction method and a software defect prediction system. Background technique [0002] Software defect prediction technology was born in the 1970s, and its main function is to guide quality assurance work and provide high-value reference for balancing software costs. Software defect prediction is mainly divided into dynamic prediction and static prediction. At present, main researches are concentrated on static prediction. The present invention belongs to distribution prediction technology in static prediction. Support Vector Machine (SVM for short) is a new machine learning method developed on the basis of statistical learning theory. It has many unique advantages in solving small sample, nonlinear and high-dimensional pattern recognition. The existing Software defect prediction mainly utilizes the support vector machine (SVM) tool to establish a prediction ...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a software defect prediction method and a software defect prediction system, which are used to solve the problem that the accuracy of the existing software defect prediction is not high

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