数据的VV&C研究

Research on Data VV&C

数据的可信性是建模与仿真领域中一个重要的问题。该文首先介绍了数据校核、验证与证明 (VV&C)的基本概念。然后确定了数据VV&C评估的主要策略 :过程模型以及支持数据质量的元数据模板等几方面内容。接着对数据的VV&C和建模与仿真的VV&A的关系作了简要比较。最后举出了一个综合环境评估和检查工具的例子。

The credibility of data is an important problem in M&S applications. Firstly the paper introduces several aspects of data Verification, Validation and Certification(VV&C):its basic concepts, process model and metadata quality template. Secondly it compares data VV&C with M&S VV&A briefly. Then it introduces the synthetic environment evaluation - inspection tool (SEE-IT). In the end it gives a summary of data VV&C research and application.