一种面向第三方测试的装备软件可信性评估方法

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。

A Method for Evaluating the Trustworthiness of Equipment Software for Third-party Testing

Software trustworthiness evaluation is an important means 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 is proposed. Firstly, a software trustworthiness evaluation model based on multi-dimensional attributes is established. In order to ensure the consistency and normativity of model input, a unified method of trusted evidence analysis and measurement is used to constrain the evaluation model. Then, the trustworthiness fusion algorithm based on axiomatic proof is used to fuse the trustworthiness data. Finally, according to the evaluation process and result information, the trustworthiness analysis is carried out in depth, more software trustworthiness information is mined, and trustworthiness enhancement strategies and specifications are 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.