Method for web code generation based on generative confrontation and convolutional neural network UI

Abstract

The invention discloses a method for generating Web codes based on generating confrontation and convolutional neural network UI. Code; Find the similarity Sim between the manually written HTML code and the generated HTML code 1 ; Find the picture I and the picture I generated by the generated HTML code 1 The similarity Sim 2 ; will Sim 1 and Sim 2 Balanced as a Sim 0 , discriminant Sim 0 The relationship with the threshold t, if Sim 0 If it is less than t, repeat the above process, otherwise, go to the next step; after the training in the previous step, obtain the image-to-HTML code generation model M, and input the UI image to be processed into the model M to obtain the corresponding HTML code. The method of the present invention can obtain a generation model M from pictures to HTML codes, and input the UI pictures to be processed to M to generate corresponding HTML codes, which is more universal and versatile, and can replace some links in actual development, so that The actual use cost is lower and the application field is wider.

Description

technical field [0001] The invention belongs to the field of software development, in particular to a method for generating Web codes based on generating confrontation and convolutional neural network UI. Background technique [0002] Due to the explosive growth of the scale and complexity of software products, rapid software development has become more and more challenging, especially in the early stages of software development, the designer designs the prototype diagram and realizes the prototype diagram with code. Very heavy and extremely inefficient. By studying the automatic generation of software codes, developers can speed up their own development progress during the development process, realize software functions more quickly, and finally launch their own software products quickly. Therefore, the research on automatic software code generation is more and more important. [0003] At present, there are many technologies for automatic code generation, including templa...

AI Technical Summary

Problems solved by technology

[0003] At present, there are many technologies for automatic code generation, including template-based Freemarker, XSLT, velocity, model-driven MDA, MDD, object-relational mapping-based ORM, MVC, document annotation-based Annotation, XDoclet, and proxy dynamic class-based AOP, PROXY, ASM, these automatic code generation methods only play a partial auxiliary role in the software development process, and cannot replace a certain link of software development, and have a very limited effect on improving the speed of software development

In addition, these automatic code generation methods need to be studied in related fields first, and then they can be applied in actual development after mastering these methods. The threshold for use is high, which is not conducive to the use of most developers, so the universality is poor , cannot be applied on a large scale in actual development

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