An Orthogonal Approach to Reusable Component Discovery in Cloud Migration

作     者：ZHAO Junfeng ZHOU Jiantao YANG Hongji LIU Guoping 

作者机构：College of Computer Science Inner Mongolia University Hohhot Centre for Creative Computing Bath Spa University Bath Advanced Control and Network Technology Research Unit University of South Wales 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2015年第12卷第5期

页      面：134-151页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China(No.61262082,No.61462066) Key Project of Chinese Ministry of Education(No.212025) Inner Mongolia Science Foundation for Distinguished Young Scholars(No.2012JQ03) Inner Mongolia Natural Science Foundation of Inner Mongolia(No.2012MS0922) 

主　　题：legacy system architecture recovery horizontal clustering vertical clustering, reusable component 

摘      要：As an innovative software application mode,Software as a service(SaaS) shows many attractive *** legacy system to SaaS can make outdated systems *** the process of migration,the existing valuable components need to be discovered and reused in order that the target system could be developed/integrated more *** innovative approach is proposed in this paper to extract the reusable components from legacy ***,implementation models of legacy system are recovered through reverse ***,function models are derived by vertical clustering,and then logical components are discovered by horizontal clustering based on the function ***,the reusable components with specific feature descriptions are *** experimental verification,the approach is considered to be efficient in reusable component discovery and to be helpful to migrating legacy system to SaaS.