基于证据推理面向生命周期的可信软件评估

An Evidential Reasoning Approach for Trustworthy Software Evaluation Under Systems Development Life Cycle

可信软件评估是目前学术界研究的一个新的热点和难点,为解决可信软件评估过程中未能有效处理区间不确定评价信息的集结、可信准则体系动态生成算法效率不够高的问题,本文提出了一种基于证据推理面向软件生命周期的可信软件评估方法,给出了可信准则体系的动态生成的两个改进算法,并通过使用区间置信度的证据推理方法进行可信准则评价信息的集结.最后通过实验和算例验证了该方法的优越性与有效性.

The trustworthy software assessment is a new hot and hard issue in recent research. In order to solve the problems, such as, aggregating information from different criteria under interval uncertainty and constructing dynamical evaluation model for trustworthy criteria more efficiently, we propose an evidential reasoning approach for trustworthy software evaluation under systems development life cycle by giving two improved algorithms for constructing dynamical evaluation model of trustworthy criteria and aggregating evaluation information in the form of interval belief degrees via evidential reasoning algorithm for trustworthy criteria. Finally, superiority and validity of the approach is verified through experiments and a numerical example.