Highly accurate code snippet recommendation method

Abstract

The invention provides a highly accurate code snippet recommendation method. The method comprises the steps of splitting and dividing a project, and generating class files, a code snippet , a code snippet method body and a code snippet note; generating a code snippet method body vector and a code snippet note vector based on the code snippet method body and the code snippet note; compiling and decompiling each class file, and extracting an instruction sequence of the code snippet from the decompiled file; generating an inquiry vector based on an inquiry input by a user, and screening out a group of primary recommendation results with highest text similarity according to a text similarity of the inquiry vector and a code snippet text characteristic; and according to statement similarity ofall code snippet s in the primary recommendation results, screening the primary recommendation results for the second time and then re-ranking so as to form a final recommendation result. The method overcomes the defect that the existing method is low in recommendation accuracy due to unique use characteristic and failure in filtering of recommendation results. The method is applicable to the field of recommendation of open source code snippets.

Description

technical field [0001] The invention belongs to the technical field of open source code segment recommendation, and in particular relates to a highly accurate code segment recommendation method. Background technique [0002] A code fragment refers to an ordered collection of a set of codes that can complete a certain function. When developers face unfamiliar development tasks or need to use unfamiliar API interfaces, code snippets are a good reference tool. Developers can learn function implementation methods or API usage patterns, and even directly modify existing code fragments to complete related development tasks. With the development of computer technology and software industry, there are more and more open source projects on the Internet. These open source projects are published on the hosting platforms of some open source software projects. Developers can find the parts they are really interested in by searching for the open source projects they need on these platfo...

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the deficiencies in the prior art, and the technical problem to be solved is: to provide a highly accurate method for recommending code fragments, which makes up for the fact that the existing methods have single features and the recommendation results are not filtered, resulting in low recommendation accuracy Defects

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