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
相关论文
共 50 条
  • [31] State Estimation Method Based on Evidential Reasoning Rule
    Xu, Xiao-bin
    Zhang, Zhen
    Zheng, Jin
    Yu, Shan-en
    Wen, Cheng-lin
    2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2015, : 610 - 617
  • [32] A Software Project Risk Analysis Model Based on Evidential Reasoning Approach
    Feng, Nan
    Li, Minqiang
    Gao, Hong
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 224 - 228
  • [33] An improved evidential DEMATEL identify critical success factors under uncertain environment
    Xueqian Shang
    Moxian Song
    Kai Huang
    Wen Jiang
    Journal of Ambient Intelligence and Humanized Computing, 2020, 11 : 3659 - 3669
  • [34] An improved evidential DEMATEL identify critical success factors under uncertain environment
    Shang, Xueqian
    Song, Moxian
    Huang, Kai
    Jiang, Wen
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (09) : 3659 - 3669
  • [35] Water Carrying Capacity Evaluation Method Based on Cloud Model Theory and an Evidential Reasoning Approach
    Cao, Wenzhi
    Deng, Jilin
    Yang, Yi
    Zeng, Yangyan
    Liu, Limei
    MATHEMATICS, 2022, 10 (02)
  • [36] Predicting tweet impact using a novel evidential reasoning prediction method
    Rivadeneira, Lucia
    Yang, Jian-Bo
    Lopez-Ibanez, Manuel
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 169
  • [37] A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH EVIDENTIAL REASONING
    Jin, Liuqian
    Xu, Yang
    Fang, Xin
    UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2016, 10 : 50 - 55
  • [38] Predicting tweet impact using a novel evidential reasoning prediction method
    Rivadeneira, Lucía
    Yang, Jian-Bo
    López-Ibáñez, Manuel
    Expert Systems with Applications, 2021, 169
  • [39] Distributed software monitoring and trustworthiness evaluation based on checkpoints
    Li Z.
    Tian J.-F.
    Chang Z.
    Ma X.-X.
    Tongxin Xuebao/Journal on Communications, 2016, 37 (03): : 8 - 19
  • [40] A Software Trustworthiness Evaluation Model Based on Level Mode
    Bao, Tie
    Liu, Shufen
    Wang, Xiaoyan
    Sun, Yunchuan
    Zhao, Guoxing
    COMPUTER SCIENCE FOR ENVIRONMENTAL ENGINEERING AND ECOINFORMATICS, PT 2, 2011, 159 : 154 - +