基于粗糙模糊集理论的构件适配决策支持方法的研究  

Research on rough-fuzzy set theorybased decision support approach of component adaptation

作　　者：李敏[1] 王军[2] 胡金柱[1] 

机构地区：[1]华中师范大学计算机科学系,武汉430079 [2]华中师范大学研究生处,武汉430079

出　　处：《华中师范大学学报（自然科学版）》2006年第2期167-171,共5页Journal of Central China Normal University：Natural Sciences

基　　金：湖北省科技攻关重大项目资助(2003AA101C26)

摘　　要：在当前实际的软件复用过程中,复用者对构件的理解和适配往往带有很大的主观性,构件适配方案的选择没有科学的客观依据,从而增加了复用者的压力、适配方案的主观性,影响了构件重用的效率.本文首先改进了传统的构件库体系结构,提出了一种层次型构件库体系结构,然后在此基础上,提出了一种基于粗糙模糊集理论的构件适配决策支持方法,并给出了相应的算法.实例研究表明,该方法为复用者进行适配决策提供了客观有效的支持工具,在一定程度上降低了构件理解和适配成本,提高了基于构件的软件开发的效率.In current real software reuse, system developers understand and adapt components subjectively. And adaptation schema selected by developers＇ understanding ability and reuse experiences, without scientific and objective basis, thereby it increases system developers＇ tension and affects the efficiency of component reuse. In this paper we improved on traditional component library architecture to propose a hierarchical component library architecture firstly. And then, we proposed a rough-fuzzy set theory-based decision support approach of component adaptation. What＇s more, we gave the approach＇s algorithm. The case study shows that this approach can support objective component adaptation decision, decreasing the cost to understand and adapt components and improve the efficiency and correctness of component reuse.

关 键 词：软件复用 粗糙模糊集 构件库 构件适配 体系结构 决策支持 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]