RDA can be used to develop data models in either a top-down or bottom up manner, allowing analysis of existing databases and development of data models by reverse engineering of existing data assets.
RDA可用于采取自下而上或自上而下的方式开发数据模型，允许分析已有数据库和通过对已有数据资产的反向工程开发数据模型。
In many cases, the canonical data models employ information-engineering techniques and the service analysis models employ UML techniques with business definitions being interchanged between the two.
在很多情况下，规范化数据模型采用信息工程技术，而服务分析模型采用UML技术，业务定义在两者之间可以互换。
Therefore, it is proposed that creep parameters determined by test data in one year are adopted in practical engineering to assure a good precision in analysis and calculation of structures.
因此，建议在实际工程中可用一年左右的试验数据确定的徐变特性参数来对结构进行分析和计算，就可保证足够的精度和准确性。
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