基于改进支持向量机的软件缺陷快速分类研究

Research on Software Defect Rapid Classification Based on Improved Support Vector Machine

随着软件在各行业的广泛应用,对软件缺陷快速而准确的分类变得愈发关键。本文基于支持向量机(SVM)算法,提出了一种新的改进算法,强调提高处理效率和降低对噪声的敏感性,并通过对比分析实验结果,验证了改进算法相对于传统算法的性能优势。本文的研究结果能够为软件工程领域提供更先进、可靠的软件缺陷分类方法,为确保软件质量和可维护性提供有力支持。

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.