摘要
为设计模式识别精确率不高的问题,提出一种基于特征分类表示的设计模式识别方法,分结构型、行为型及创建型三类归纳特征信息,三类模式分别以Adapter模式、Command模式、Factory Method模式为例,通过4个经典的测试系统进行设计模式识别实验,识别精确率分别96.8%、81.95%、42.85%,取得了较好的效果。
To solve the low accuracy of design pattern recognition,this paper proposes a method for design pattern recognition based on feature classification representation.The characteristic information was summarized into three types:structural pattern,behavioral pattern and creative pattern.Taking adapter mode,command mode and factory method mode as examples,the design pattern recognition experiments were carried out through four classic test systems.The results show that their recognition accuracy rates are 96.8%,81.95%and 42.85%respectively,which has better performance.
作者
肖卓宇
何锫
徐运标
陈果
郭杰
王林春
Xiao Zhuoyu;He Pei;Xu Yunbiao;Chen Guo;Guo Jie;Wang Linchun(School of Information Engineering,Hunan Industry Polytechnic,Changsha 410208,Hunan,China;School of Computer Science&Education Software,Guangzhou University,Guangzhou 510006,Guangdong,China)
出处
《计算机应用与软件》
北大核心
2022年第6期7-11,20,共6页
Computer Applications and Software
基金
湖南省自然科学基金科教联合项目(2020JJ7035)
湖南省教育厅科学研究项目(19C0611)
国家自然科学基金项目(61977018)。
关键词
设计模式
设计模式识别
分类
特征信息
Design pattern
Design pattern recognition
Classification
Feature information
