Method for automatically generating software based on data model driving

Abstract

The invention discloses a method for automatically generating software based on data model driving, which comprises the following steps of: S1, binding data or a direct mathematical model on a manual page layout, S2, automatically compiling into an intermediate code by a system, S3, separating a front-end database and a rear-end database by an intermediate code compiler, compiling into a third-party language (high-level language) and creating a management system at the same time, S4, compiling and deploying the system; and S5, uploading the system. Duplicated code programming is greatly reduced, so that the software writing efficiency is improved; the system can well respond to the demand change; through the design of a self-defined business expression language, the system has strong business adaptability, and meanwhile, the separation of a front-end background and a database code can be completed, so that the security is ensured; and when the data redundancy is increased, the function can be quickly queried, so that the efficiency maximization of the bottleneck function is ensured.

Description

technical field [0001] The invention relates to the technical field of software development, in particular to a method for automatically generating software based on data model driving. Background technique [0002] At present, the development of a software often requires the preparation of background management and front-end respectively. The background management includes the bean package for storing data classes, the DAO layer for accessing data, and the servlet for accepting user requests and responding Layer, front-end writing includes software graphical user interface (UI), management page, etc. For relatively large projects, software often requires corresponding front-end and back-end engineers to develop. For the background management side, the entity classes in many bean packages and the operations on entity classes are repetitive, such as creating entity classes, writing get and set methods, etc., and adding, deleting, modifying and checking the database at the DAO...

AI Technical Summary

Problems solved by technology

[0007] Two bottles of poison: a large number of enterprises and companies need a lot of software, and the cost of maintaining a technical team is high, but the outsourcing company's technical support will be slack or even stopped if the demand changes slightly in the way of outsourcing

This leads to the embarrassment of choosing one of two bottles of poison

[0008] 3. Artificial intelligence bottleneck: The development of artificial intelligence requires the software itself to have a strong evolutionary ability, but th

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