首页 | 本学科首页   官方微博 | 高级检索  
     

基于模糊逻辑的软件质量评价方法
引用本文:冯建湘,唐嵘,高利. 基于模糊逻辑的软件质量评价方法[J]. 安徽理工大学学报(自然科学版), 2003, 23(4): 40-42
作者姓名:冯建湘  唐嵘  高利
作者单位:1. 湖南科技大学计算机科学与工程学院,湖南,湘潭,411201
2. 国防科技大学炮兵学院,湖南,长沙,410112
摘    要:软件质量是软件开发相关各方共同关注的目标,软件质量定量评价是软件工程领域的热点问题。在国内外对软件质量定量评价方法研究的不足之处的基础上,提出了运用模糊逻辑理论对软件质量进行定量评价的技术方法,即首先通过工程化方法筛选软件质量评价要素,并确定软件质量评价要素和质量评价等级模糊集,然后建立它们之间的模糊关系和质量要素权重集,经过最大——最小复合运算,计算出反映软件质量的评价向量值;通过应用实例,得出一个软件系统(XTMAIS)质量的实际评价等级;提出了进一步研究的方向。研究结果表明,该方法符合模糊逻辑理论的应用特点和软件工程的发展方向,理论上先进,技术上可行,在软件工程领域具有推广、应用价值。

关 键 词:模糊逻辑 软件质量评价 软件工程 模糊决策 质量要素权重集
文章编号:1672-1098(2003)04-0040-03
修稿时间:2003-09-18

Software quality evaluation method based on fuzzy logic
FENG Jian-xiang,TANG Rong,GAO Li. Software quality evaluation method based on fuzzy logic[J]. Journal of Anhui University of Science and Technology:Natural Science, 2003, 23(4): 40-42
Authors:FENG Jian-xiang  TANG Rong  GAO Li
Affiliation:FENG Jian-xiang~1,TANG Rong~2,GAO Li~1
Abstract:Software quality is a common concern to all of software development, and software quality quantities evaluation is a hot issue in the field of software engineering. Based on the drawbacks of the software quality evaluation methods at home and abroad, this paper proposes a new method called Fuzzy Logic theory, i.e. selecting software quality evaluation factors through engineering method, and determining the fuzzy sets of evaluation factors and scales, hence setting up Fuzzy relationships among them and a weight set of quality factors, computing the evaluation vector which represents the quality of the software by minimizing-maximizing compound calculating. Through practical application, we can get a practical evaluation scale of a software system (XTMAIS), and then propose the future work. The result shows that the method fits the application characters of fuzzy logic theory and developing direction of software engineering .It is an advanced theory and practical technology, which can be generalized and applied in software engineering field.
Keywords:software engineering  software quality evaluation  fuzzy logic  fuzzy decision  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号