计算机工程2011，Vol.37Issue(9)：110-111,114,3.DOI:10.3969/j.issn.1000-3428.2011.09.037
基于构件行为聚类的软件工程知识分类
Software Engineering Knowledge Classification Based on Component Behavior Clustering
摘要
Abstract
Aiming at the problems that traditional means towards software engineering knowledge classification is inefficient, this paper presents an improved software engineering knowledge classification method.Regarding the architecture of Software Engineering Body Of Knowledge(SWEBOK), it goes on clustering for component behavior, determines the behavior correlation coefficient, the best clustering numbers,fuzzy correlation matrix, applies K-NN Algorithm and structure modeling method to generate a knowledge classification system.It can train the system with experience knowledge to classify new knowledge into corresponding SWEBOK categories.Experimental results show that the method has good classification efficiency.关键词
软件工程知识体系/接口自动机/构件行为聚类/聚类构造器Key words
Software Engineering Body Of Knowledge(SWEBOK)/ Interface Automata(IA)/ component behavior clustering/ clustering constructor分类
信息技术与安全科学引用本文复制引用
万年红,谭文安,王雪蓉..基于构件行为聚类的软件工程知识分类[J].计算机工程,2011,37(9):110-111,114,3.基金项目
国家自然科学基金资助项目(60874120) （60874120）
