吉林大学学报（理学版）2016，Vol.54Issue(5)：1082-1086,5.DOI:10.13413/j.cnki.jdxblxb.2016.05.27
谱聚类与混沌免疫相结合的软件缺陷分析算法
Software Defect Analysis Algorithm Based on Combination of Spectral Clustering and Chaotic Immunity
摘要
Abstract
Aiming at the problem that non marking software metric metadata was easy to fall into the local optimum of the K-means process in the spectral clustering algorithm,we proposed a new algorithm of chaotic immune clustering algorithm.Under the framework of the immune clonal selection algorithm,the method of antibody affinity calculation was designed for the evaluation of immune clonal clustering center,and the hierarchical chaotic mutation operator was given,which further improved prediction performance of non marking software metric metadata.Simulation results show that the algorithm is effective.关键词
软件缺陷预测/软件度量元/混沌理论/谱聚类Key words
software defect prediction/software metric/chaos theory/spectral clustering分类
信息技术与安全科学引用本文复制引用
徐毅,范会敏..谱聚类与混沌免疫相结合的软件缺陷分析算法[J].吉林大学学报（理学版）,2016,54(5):1082-1086,5.基金项目
国家自然科学基金(批准号:61472072) （批准号:61472072）
