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一种面向第三方测试的装备软件可信性评估方法 被引量:1

A Method for Evaluating the Trustworthiness of Equipment Software for Third-party Testing
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摘要 软件可信性评估是保障装备软件可信的重要手段。针对传统可信评估方法评估模型领域行业适应性差、模型构建科学性和规范性不足、提供的可信信息匮乏等问题,提出一种面向第三方测试的装备软件可信性评估方法。首先建立基于多维属性的软件可信性评估模型,为保证模型输入的一致性和规范性,采用统一的可信证据分析度量方法对评估模型进行约束;然后采用基于公理证明的可信融合算法对可信数据进行融合;最后根据评估过程和结果信息深入开展可信性分析,挖掘更多的软件可信信息,生成可信性增强策略和规范。应用结果表明,该方法科学性、规范性较强,评估结果准确性较高,能够有效促进装备软件可信性的提升。 Software trustworthiness evaluation is an important mean to ensure the trustworthiness of equipment software. Aiming at the problems of poor industry adaptability, inadequate scientificity, and normativity of model construction and lack of trustworthiness information provided by traditional trustworthiness evaluation methods, a method for evaluating the trustworthiness of equipment software for third-party testing was proposed. First, a software trustworthiness evaluation model was established based on multi-dimensional attributes. To ensure the consistency and normativity of model input, a unified method of trusted evidence analysis and measurement was used to constrain the evaluation model. Second, the trustworthiness fusion algorithm based on axiomatic proof was applied to fuse the trustworthiness data. Finally, according to the evaluation process and result information, the trustworthiness analysis was carried out in depth, more software trustworthiness information was mined, and trustworthiness enhancement strategies and specifications were generated. The application results show that the method is scientific and normative, and the evaluation results are highly accurate, which can effectively promote the trustworthiness of the equipment software.
作者 郭兴林 周昱瑶 漆莲芝 孙振晓 张谊 颜运强 GUO Xing-lin;ZHOU Yu-yao;QI Lian-zhi;SUN Zhen-xiao;ZHANG Yi;YAN Yun-qiang(Institute of Computer Application,China Academy of Engineering Physics,Mianyang 621900,China)
出处 《科学技术与工程》 北大核心 2020年第11期4417-4424,共8页 Science Technology and Engineering
基金 国防科工局技术基础科研项目(JSZL2015212B001)。
关键词 第三方测试 可信性评估 多维属性 可信证据 可信性分析 third-party testing trustworthiness evaluation multi-dimensional attributes trusted evidence trustworthiness analysis
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