Optimized statistical analysis of software trustworthiness attributes

被引：1
作者：
ZHANG Xiao1
2State Key Laboratory of Software Development Environment
机构：
来源：
Science China(Information Sciences) | 2012年 / 55卷 / 11期
关键词：
software trustworthiness; kernel attributes; optimization; statistical analysis;
D O I：
暂无
中图分类号：
TP309 [安全保密];
学科分类号：
081201 ; 0839 ; 1402 ;
摘要：
Software trustworthiness has become one of the key restrictions for software service quality and the development of the software industry.However,trustworthiness attributes interlace structured and dynamical coupling relations,which causes great barriers for trustworthiness measurements of large-scale software.According to the dynamical evolutionary characteristics of software trustworthiness attributes,this paper proposes a new approach for optimizing the trustworthiness measurement in terms the kernel trustworthiness attributes,and improves a downsize-optimized statistical analysis method for software trustworthiness attributes based on their nonlinear relations.The improved method considerably simplifies the trustworthiness assessment of largescale software.Using theoretical analysis and numerical simulations,the feasibility of this method is verified using two typical examples that illustrate the realization of the trustworthiness measurement.
引用
收藏
页码：2508 / 2520
页数：13
相关论文
共 12 条
  • [1] Complexity of software trustworthiness and its dynamical statistical analysis methods[J]. ZHENG ZhiMing1,3,MA ShiLong2,LI Wei2,JIANG Xin1,WEI Wei3,MA LiLi1 & TANG ShaoTing1 1 Key Laboratory of Mathematics,Informatics and Behavioral Semantics,Ministry of Education,Beihang University,Beijing 100191,China;2 State Key Laboratory of Software Development Environment,Beihang University,Beijing 100191,China;3 School of Mathematical Sciences,Peking University,Beijing 100871,China.Science in China(Series
  • [2] Dynamical characteristics of software trustworthiness and their evolutionary complexity[J]. ZHENG ZhiMing1,3, MA ShiLong2, LI Wei2, WEI Wei3, JIANG Xin1, ZHANG ZhanLi3 & GUO BingHui1 1 Key Laboratory of Mathematics, Informatics and Behavioral Semantics, Ministry of Education, Beihang University, Beijing 100191, China;2 State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China;3 School of Mathematical Sciences, Peking University, Beijing 100871, China.Sci
  • [3] 电力系统暂态稳定域边界二维特征不变流形计算
    刘辉
    闵勇
    [J]. 电网技术, 2009, 33 (01) : 5 - 10
  • [4] Dynamic trust enhanced security model for trusted platform based services
    Nagarajan, Aarthi
    Varadharajan, Vijay
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2011, 27 (05): : 564 - 573
  • [5] Reflections on System Trustworthiness[J] . Peter G. Neumann.Advances In Computers . 2007
  • [6] Dynamical conditions for convergence of a maximum entropy method for Frobenius–Perron operator equations[J] . Christopher J. Bose,Rua Murray.Applied Mathematics and Computation . 2006 (1)
  • [7] Software complexity and its impacts in embedded intelligent real-time systems
    Coskun, E
    Grabowski, M
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2005, 78 (02) : 128 - 145
  • [8] Code and data spatial complexity: two important software understandability measures[J] . Jitender Kumar Chhabra,K.K. Aggarwal,Yogesh Singh.Information and Software Technology . 2003 (8)
  • [9] Probabilistic risk analysis for the NASA space shuttle: a brief history and current work[J] . Elisabeth Paté-Cornell,Robin Dillon.Reliability Engineering and System Safety . 2001 (3)
  • [10] APPROXIMATING PHYSICAL INVARIANT MEASURES OF MIXING DYNAMICAL SYSTEMS IN HIGHER DIMENSIONS
    Froyland, Gary
    [J]. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 1998, 32 (07) : 831 - 860
12