Research on Software Defect Rapid Classification Based on Improved Support Vector Machine
With the widespread application of software in various industries,fast and accurate classification of software defects has become increasingly crucial.This article proposes a new improved algorithm based on the Support Vector Machine(SVM)algorithm,emphasizing the improvement of processing efficiency and the reduction of sensitivity to noise.And through comparative analysis of experimental results,the performance advantages of the improved algorithm over traditional algorithms were verified.The research results of this article can provide more advanced and reliable software defect classification methods for the field of software engineering,and provide strong support for ensuring software quality and maintainability.
NETL
NSTL
万方数据
