设计模式自动识别的研究进展  

Survey on Research of Automatic Design Pattern Detection

作　　者：王智广[1,2] 王雷[1] WANG Zhi-guang;WANG Lei(School of Mechanical Electronic and Information Engineering,China University of Mining and Technology（Beijing）,Beijing 100083,China;College of Geophysics and Information Engineering,China University of Petroleum（Beijing）,Beijing 102249,China)

机构地区：[1]中国矿业大学(北京)机电与信息工程学院,北京100083 [2]中国石油大学(北京)地球物理与信息工程学院,北京102249

出　　处：《北京邮电大学学报》2018年第4期119-124,共6页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(60873093);国家科技重大专项项目(2017ZX05018-005)

摘　　要：简要介绍了设计模式自动识别领域的发展历程;从基于图论、形式化技术、软件度量和人工智能的设计模式识别四大类方法出发,对该领域的研究进行了综述;通过适用的模式类型、时间性能和能否完全自动化3个指标对四大类方法进行了比较;最后分析了当前研究存在的问题与不足,并指出了今后的研究方向.对各方法适用的模式类型、优缺点及内在联系进行了分析和讨论,从宏观上阐述了该领域的研究进展.The development history of the field of automatic design pattern detection was briefly introduced; the research of this field was respectively reviewed from four major categories of approaches：graph theory-based,formal technologies-based,software metrics-based and artificial intelligence-based design pattern detection; the four major categories of approaches are compared through 3 indexes： applicable pattern type（ s）,time performance and possibility of fully automated; finally the problems and shortcomings of the current research were analyzed,and the future research directions were pointed out.This paper analyzes and discusses the applicable pattern type（ s）,the advantages/disadvantages and the inner connections of the various approaches,and expounds the research progress of this field from the macro level.

关 键 词：设计模式识别 研究进展 软件逆向工程 识别规则 模式变体 时间性能 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]