Software code search oriented query statement regenerating method

Abstract

The invention relates to a software code search oriented query statement regenerating method. The method includes the following steps: performing pretreatment on codes and comments in a software code library and query statements input by a user; extracting compound words in the software code library, and defining two or more keywords divided by the compound words as a heterogeneous relationship; defining synonyms as a homogeneous relationship; searching homogeneous keywords and heterogeneous keywords of all the keywords in the query statements, and visualizing the homogeneous keywords and the heterogeneous keywords so as to allow the user to select more suitable keywords which are the final result. The method overcomes the defects of low accuracy, selection deviation and complex relationships of the conventional methods; the method can effectively search relevant information in the software code library, expand keywords included in original query statements, provide code snippets of the keywords, achieve information query and expansion, and effectively improve software understanding level of a software maintainer and the efficiency.

Description

technical field [0001] The invention belongs to the field of software understanding, in particular to a method for regenerating query sentences oriented to software code retrieval. Background technique [0002] In software engineering, it takes a lot of time for software maintainers to understand large sections of software code, and each software developer has their own naming style, including abbreviations and links of phrases, which greatly increases the difficulty of software maintenance. Therefore, in order to facilitate the understanding of software code, we query the software code base to more accurately retrieve relevant information for reference by software developers, so that software maintenance can proceed smoothly. Therefore, the quality of query statements determines whether we can accurately retrieve the key information that maintainers want. However, the constant replacement of software maintenance personnel and the increasingly large software source code mak...

AI Technical Summary

Problems solved by technology

However, the relationship between keywords in the code base is very complicated. For example, code class names and method names are mostly composed of compound words. Each developer’s naming habits are also different, so it is only based on the position between keywords. The relationship cannot effectively find the relevant words of the query statement, and even interferes with the vocabulary and affects the accuracy of the query statement regeneration

In addition, Bunyamin et al. used machines to automatically select the way to form new query statements. Compared with manual selection, its accuracy is low, and even due to the selection bias of the machine, the query results run counter to the original query statement.

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