A source code annotation automatic generation method and system

Abstract

The invention relates to a source code annotation automatic generation method and system. Semantic analysis is carried out on a first source code and an abstract syntax tree is generated, Therefore, the internal mapping relation between the natural language and the program language is established, and the second source code is annotated according to the mapping relation. The computer efficiently analyzes the program language and then maps the program language to the corresponding natural language, so that a programmer can efficiently and easily understand the function realized by the source code. And a programmer is helped to quickly know the internal operation mechanism of the computer program, so that the programmer is helped to quickly identify defects and vulnerabilities in software design. The method has universality. The workload problem of manually analyzing the repeated source codes in the prior art is solved, and time and cost expenditure caused by analyzing the repeated source codes are reduced.

Description

technical field [0001] The invention relates to a software source code analysis tool, in particular to a method and system for automatically generating source code annotations based on a recursive neural network and an abstract syntax tree. Background technique [0002] Artificial intelligence has become a hot topic around the world, with AlphaGo based on deep learning beating Lee Sedol. Artificial intelligence algorithms are constantly being applied in various industries. The large amount of data accumulated by various industries in the late industrial age makes the random probability model clearer and more able to reflect objective laws. Therefore, reasonable use of probability theory analysis can obtain industry rules more accurately. As one of the cornerstones of artificial intelligence, probability theory can be extended to all walks of life. [0003] Existing source code analysis tools can help programmers quickly analyze the data structure of program source code an...

AI Technical Summary

Problems solved by technology

Outdated, incorrect, or missing program source code comments that can lead to misinterpretation by other programmers on the team

The situation may deteriorate further, for example, it is difficult to build an experimental environment for computer programs, and without an experimental environment, it is impossible to understand the internal working principles of computer programs by monitoring and analyzing the internal operating procedures and internal processing mechanisms of computer programs

Therefore, individuals in the team will have understanding errors, and at the same time, information will be lost in the dissemination of information among team members, and error information will continue to expand, resulting in continuous difficulties in software development and management.

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