An exploratory search method for bug problems based on knowledge graph

Abstract

The invention relates to an exploratory search method for bug problems based on a knowledge graph. The present invention effectively combines the information in the bug library and the commit library, obtains the relevant bug information by understanding the content to be searched, establishes the entity relationship between them, and lists the relevant bug report information, commit information, and information of relevant personnel And similar bug information, improve the efficiency of software development and maintenance personnel to solve bug problems. The invention overcomes the defects of inaccurate query results existing in the current method, and when the amount of data is large, it takes a lot of time to search and the like. From the perspective of software developers and maintainers, the invention understands the content input by the searcher, provides intuitive and accurate information, and helps the searcher solve the bug problem encountered. It not only shortens the search time, but also ensures the accuracy of the search results. By recording the information browsed by the searcher, it can further predict the purpose of the searcher, and help software developers understand and learn related bug knowledge more comprehensively.

Description

Technical field [0001] The present invention belongs to the field of software maintenance, and in particular relates to an exploratory search method for bugs based on a knowledge graph. Background technique [0002] When software development and maintenance personnel develop and maintain software, they often encounter some hard-to-solve bugs due to their unfamiliarity or lack of experience. After encountering these problems, they will search for related bugs, and after understanding them, they need to check some commit modification information submitted in the past in order to get related solutions. If you look for help in Stackoverflow, you may not get the answer you want right away. This makes software developers and maintainers not only spend a lot of time searching and finding solutions after encountering bugs, but also often encounter problems such as inaccurate and comprehensive search results. [0003] Before the present invention was made, there was no website for explora...

AI Technical Summary

Problems solved by technology

The shortcomings of keyword-based retrieval are obvious due to the inability to understand the purpose of user search

Searches returned to users are not only cluttered but also inaccurate

Users need to spend a lot of time browsing and filtering information, which is not only time-consuming and labor-intensive, but may still not get the desired results

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