Code modeling method and device

Abstract

The invention provides a code modeling method and device which can be used in the financial field or other fields. The method comprises the following steps: receiving and analyzing a meta-model file input by a user to obtain basic model attribute information and a technical meta-model name corresponding to the meta-model file; according to the technical meta-model name, obtaining a technical meta-model corresponding to the meta-model file from a database, and analyzing the technical meta-model to obtain extension model attribute information; receiving the modeling code information input by a user, configuring a preset public template according to the modeling code information, the basic model attribute information and the extended model attribute information, and generating and outputting a modeling code file. According to the method, code modeling is carried out based on the meta-model and the technical meta-model, when the meta-model is newly added and modified, the code modeling development efficiency is improved, a large amount of time is saved to achieve service functions, codes are standardized, the code error rate in the development stage is reduced, and the development efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of java backend technology, in particular to a code modeling method and device. Background technique [0002] With the development of digital banking informatization and the improvement of the asset management and control system, more and more assets are managed in the system, and the addition of assets and the adjustment and changes of assets are becoming more and more frequent. A fast and stable Code modeling methods deal with this situation. [0003] At present, the corresponding development is made for the configuration modification of the metamodel and the technical metamodel, and the code logic of the corresponding field of the corresponding asset is added to the relevant code. At present, this method has the following disadvantages: [0004] 1. Adding and adjusting asset requirements is inefficient, and development requires time and cost to write some inefficient and repetitive logic, as well as supporting au...

AI Technical Summary

Problems solved by technology

[0004] 1. Adding and adjusting asset requirements is inefficient, and development requires time and cost to write some inefficient and repetitive logic, as well as supporting automated test cases (utdd)

[0005] 2. Because the meta-model is matched with the technical meta-model, one function of the current code is coupled in one method, a large number of if and else branches process different assets, and even several types of assets have one if branch, so modifying the code requires development cost and the cost of extensive regression testing

[0006] 3. The requirements for developers are high, the functions developed by different developers are too different, and the code maintenance cost is high

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