A user comment recommendation method based on a code cloning technology

Abstract

The invention discloses a user comment recommendation method based on a code cloning technology. The method is combined with the code cloning technology and a user comment recommendation algorithm toprovide reasonable and effective comments for newly developed software or software lacking user comments. The main process comprises the following steps: firstly, collecting a large amount of code cloning data, processing code pairs in a data set by using AST and Word2Vec, representing the code pairs as vectors, and carrying out CNN model training and storage based on the vectors; Secondly, user comment stage data is collected and preprocessed, codes input by a user based on a plug-in and codes used for comment recommendation form code pairs, and the code pairs are expressed as vectors by adopting a processing method with the same code cloning stage; And finally predicting the similarity value based on the vector and the stored CNN model, and finally providing reasonable and effective usercomments for the code segment input by the user. The problem that application software does not have enough effective user comments is solved, and more effective information is provided for further improvement and improvement of the software.

Description

technical field [0001] The invention belongs to the technical field of user comment recommendation methods, in particular to a user comment recommendation method based on code cloning technology, and is especially suitable for applications that use more user comments for further improvement and promotion. Background technique [0002] With the development of computer technology, the degree of informatization and intelligence of human society has become popular, and computer software as its core is widely used in the national economy and daily life. With the continuous expansion of software scale, more and more researchers have paid more and more attention to the improvement and promotion of software functions based on user reviews in recent years. Further better guidance. However, many application software do not have enough user reviews, and application software lacking user reviews will hinder the development of the field of software engineering technology. [0003] As a...

AI Technical Summary

Problems solved by technology

Although the first type of problem has been solved, the second type of challenge has not received enough attention

Many researchers are devoted to the purification of user reviews rather than expansion. In fact, not enough user reviews will seriously affect the development of developers in the technical field of improving product quality through users' real experience.

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