Model Driven Programming in Data Preprocessor Design

Due to the complexity and diversity of business data in software systems, data pre-processor has become an indispensable part of software. However, the common data preprocessor has some shortcomings such as poor structure flexibility, difficult of extension and maintenance, poor data processing ability, long development cycle and others. To solve these problems, this paper proposes a general data pre-processor design method based on model driven architecture. Using the ideas of model driven architecture, with the aid of modeling tools and modeling language, a preprocessor demand model is established firstly, based on which a preprocessor platform independent model is established, and finally translated into preprocessor code. The method is applied to the design of the data preprocessor in the billing system with its validity being proved and it can be easily applied to the design of other kinds of data preprocessors.