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面向软件可信优化的失信因素分析方法
引用本文:戎强强,李方,余涛.面向软件可信优化的失信因素分析方法[J].阜阳师范学院学报(自然科学版),2011,28(3):74-76.
作者姓名:戎强强  李方  余涛
作者单位:1. 安徽理工大学计算机科学与工程学院,安徽淮南232001/阜阳师范学院信息工程学院,安徽阜阳236041
2. 阜阳师范学院学生工作处,安徽阜阳,236037
3. 合肥工业大学管理学院,安徽合肥,230009
基金项目:安徽省教育厅青年人才基金项目(2010SQRL196)资助
摘    要:软件可信性评估的目的是对软件实体的可信状态有较为全面的主观认知,最终给出优化方案。文章通过分析当今软件可信评估中尚存在的问题,对影响软件可信性的重要属性进行研究,提出了一种基于权重的失信因素分析方法,并利用其构造算法模型。研究了软件可信优化时的关键失信因素,得到各失信因素的失信度,并且得到关键失信链。

关 键 词:软件可信性  可信评估  失信度  关键失信链

Analytical method of incredibility factors for optimization of multidimensional software trustworthiness
RONG Qiang-qiang,LI Fang,YU Tao.Analytical method of incredibility factors for optimization of multidimensional software trustworthiness[J].Journal of Fuyang Teachers College:Natural Science,2011,28(3):74-76.
Authors:RONG Qiang-qiang  LI Fang  YU Tao
Institution:1.School of Computer Science and Engineering,Anhui University Of Science & Technology,Huainan Anhui 232001,China; 2.School of Information Engineering,Fuyang Teachers College,Fuyang Anhui 236041,China; 3.Department of Students Affairs,Fuyang Teachers College,Fuyang Anhui 236037,China; 4.School of Management,Hefei University of Technology,Hefei Anhui 230009,China)
Abstract:Software trustworthiness evaluation aims at acquiring an all-sided subjective cognition of the software entities’ trustworthiness and proposing the scheme of optimization finally.By analyzing the still existing problems in today’s Software trustworthiness evaluation and researching important attributes affecting software trustworthiness,an analytical method to incredibility factors based on the weight is proposed and its construction algorithm model is adopted.The key incredibility factors during software trustworthiness optimization are researched.As a result,the degrees of incredibility for various incredibility factors and the key incredibility chains are both acquired,which are highly significant for software trustworthiness optimization.
Keywords:software trustworthiness  trustworthiness evaluation  degree of incredibility  key incredibility chains
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