Code searching method based on semantics

Abstract

The invention discloses a code searching method based on semantics. A system adopted in the method mainly comprises a data collection module, a data analysis module, a data sorting module and a user interaction module, wherein a crawler tool JoBo in the data collection module can preset certain website addresses in a configuration file, a code source is fetched from a preset forum and blog to most effectively fetch the webpage at the highest speed; the code source fetched by the crawler tool JoBo is subjected to semantic analysis by an abstract syntax tree AST frame in an open-source tool JDT (Java Development Tools ); the data sorting module is matched according to keywords input by a user; and after a corresponding search result is obtained by analysis, factors on five aspects are comprehensively considered, and the search results are successively sorted and displayed to the user from the higher score to the lower score by sorting data. On the basis of utilizing the traditional best search engine, the code searching method correspondingly expands semantic information identification and sorting, defines a search range by configuring a crawler, improves the search efficiency and the precision accuracy, and considers user favor.

Description

technical field [0001] The invention relates to a code search method, in particular to a semantic-based code search method. Background technique [0002] The current code search engines such as Google code search and Koders mainly search the files of some open source projects in the network, ignoring the code fragments in large blogs or forums, resulting in a relatively narrow search scope. They mainly use full-text indexing technology to index publicly released code files, so as to quickly locate the searched code, but they do not identify the structural information of the code, and cannot accurately locate descriptions such as class names, method names, and variables. information, making the search results inaccurate. [0003] Some current mainstream search engines have the following defects: 1. The code search range is small, and only the files of some open source projects in the network are retrieved; 2. The search results are inaccurate, because the retrieval method is...

AI Technical Summary

Problems solved by technology

[0002] Current code search engines such as Google code search and Koders mainly retrieve files of some open source projects on the Internet, ignoring code fragments in large blogs or forums, resulting in a relatively narrow search scope

They mainly use full-text indexing technology to index publicly released code files, so as to quickly locate the searched code, but they do not identify the structural information of the code, and cannot accurately locate descriptions such as class names, method names, and variables. information, making search results inaccurate

[0003] Some current mainstream search engines have the following defects: 1. The code search range is small, and only the files of some open source projects in the network are retrieved; 2. The search results are inaccurate, because the retrieval method is a full-text search, and the structure of the code cannot be used Information (such as class name, method name, variable name) to retrieve

Therefore, the existing search technology has shortcomings such as relying only on keywords and limited search scope.

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