Iterative code generation method based on domain knowledge sharing

Abstract

The invention discloses an iterative code generation method based on domain knowledge sharing. The method comprises the following steps of: 1) developing a core code generation system based on a dynamic language; 2) generating a conventional industry application system by using the core code generation system; 3) extracting common domain related knowledge codes in the conventional industry application system; and 4) re-developing on the basis of the common domain related knowledge codes to generate a specific domain application system, wherein the core code generation system comprises a use interface, a development interface, a dependence instruction file and an automated test and deployment suite. Iteration can be realized by re-extracting the common domain related knowledge codes from the specific domain application system. The invention has the advantages that: a generated iterative code generation system is high in expandability; the accumulation and detailing of a domain are supported; the development efficiency of a detailing industry domain is improved; testability is good; project quality can be improved; and the frequency of reworking in a project development process is reduced.

Description

technical field [0001] The invention relates to the field of computer system application technology. Specifically, it relates to an iterative code generation system for realizing rapid development in the field of industry application. Background technique [0002] The code generation system has a history of many years of development, from the early syntax analyzer automatic generation system to various MDA automatic generation tools later. With the development of enterprise / government information technology, the demand for industry application development for different industries is becoming stronger and stronger. As a result, a large number of code generation systems and rapid development platforms for industry applications have emerged. Existing code generation systems for industry applications are often based on static object-oriented languages ​​(such as Java / C# / Delphi) and component technology, providing industry application developers with various GUI drag-and-drop c...

AI Technical Summary

Problems solved by technology

Therefore, for the deep-seated needs of industry users, the code generation system is often unable to do what it wants

In addition, some developers also provide code generation systems for specific industries, but these code generation systems cannot be applied to other industries, and the application range is too narrow

[0005] 2. It is difficult to expand the code generation system

Such a code generation system not only does not reduce the workload of developers, but increases the workload

[0008] 3. Does not support automated testing

The traditional code generation system provides developers with an integrated development environment with GUI interface, and does not provide easy-to-test CLI and API interfaces, so it is difficult to realize automated testing and timely testing

This can lead to poor code quality and even a lot of rework

[0009] 4. Does not support iterative code generation system

However, software development for applications in different industries requires domain knowledge of different industries, and when industries are divided more and more finely, the required domain knowledge becomes more and more complex.

The built-in domain-specific code generation system for solidification will not be able to cope with the current trend of software development

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