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Annotation classification method based on decision tree

A classification method and decision tree technology, applied in the direction of instruments, software maintenance/management, program files, etc., can solve the problem of not getting researchers, and achieve the effect of clear content, cost saving, and increased comprehension.

Pending Publication Date: 2020-02-28
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, these classifications have not received enough attention from researchers in terms of software development and software maintenance, and most research efforts on code annotations have focused on the functional description of codes.

Method used

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  • Annotation classification method based on decision tree
  • Annotation classification method based on decision tree
  • Annotation classification method based on decision tree

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Experimental program
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Embodiment 1

[0023] Embodiment 1: see figure 1 — image 3 , a decision tree-based annotation classification method, the method comprising the following steps:

[0024] Step 1) annotation extraction, extract annotation from source code, comprise package annotation, class annotation, method annotation;

[0025] Step 2) Note Feature Extraction: According to the notes extracted in step 1), four types of note features are extracted, including functional features, usage features, structural features, and development features; functional features are descriptions of code functions, and this type of notes includes The function or task undertaken by the code block is specified. Structural features describe the relationship between the code block and other code blocks. The structural information contained in this technology is divided into class level and method level. The class level includes association relationship, aggregation relationship, and inheritance relationship. The method level inclu...

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Abstract

The invention discloses an annotation classification method based on a decision tree. The method comprises the following steps of: 1, extracting code annotations from software, 2, extracting annotation characteristics from the annotations, 3, constructing a decision tree according to the annotation characteristics, 4, taking the annotations as input of the decision tree, and finally, dividing thecode annotations into four types of annotations, namely function annotations, structure annotations, use annotations and development annotations, and outputting the classified annotations. According to the annotation classification technology, annotations are classified into four types of contents commonly used in the software development process by using a decision tree method, and the annotationclassification output result of the method is used for relieving the problems of annotation content mixing, non-uniform format and the like in the current software development process, so that standardized management of the annotations is convenient to realize, and developers are helped to understand codes and reuse the codes.

Description

technical field [0001] The invention relates to a comment classification method based on a decision tree, belonging to the technical field of software engineering. Background technique [0002] Code comments play an important role in software development. It can help developers understand source code effectively, and it also plays a very important role in software maintenance. Reading and understanding comments is an essential activity in a developer's day-to-day tasks, and in practice, developers often spend more time reading and understanding code than editing it, partly due to the current lack of high-quality comments. An important reason that affects the quality of annotations is that the content of annotations is uncontrollable. Comments contain a variety of information, some annotations are redundant, and annotations can also lack some annotation information. [0003] There have been studies on the analysis and classification of comment content, and they classified th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/73G06K9/62
CPCG06F8/73G06F18/24323
Inventor 李必信宋启威孔祥龙王璐璐廖力周颖
Owner SOUTHEAST UNIV
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