A novel evidential reasoning based method for software trustworthiness evaluation under the uncertain and unreliable environment

被引:24
|
作者
Ding, Shuai
Yang, Shan-Lin [1 ]
Fu, Chao
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Intelligent system; Trustworthiness evaluation; Evidential reasoning approach; Evaluation reliability; Discounting factor estimation; DEPENDABILITY;
D O I
10.1016/j.eswa.2011.08.127
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many software trustworthiness evaluation (STE) problems include both quantitative and qualitative indicators with unreliability and various kinds of uncertainties. In this paper, a novel evidential reasoning (ER) based STE method is developed to model these problems. Considering the reliability of objective and subjective trustworthiness evaluations, two discounting factor estimation approaches to STE are proposed to meet the demands of the unreliable trustworthiness evaluations pretreatment. In order to characterize the degree of evaluation unreliability, the utility theory based trustworthiness evaluation distance is constructed to characterize the degree of evaluation. An intelligent software embedded in the liquid metal detection system is evaluated by the ER based STE method to demonstrate its detailed implementation process, and its validity and applicability. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2700 / 2709
页数:10
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