Interface analysis method and device based on graph mining, and related equipment

Abstract

The invention discloses an interface analysis method based on graph mining, which is applied to the field of data analysis and is used for improving the interface analysis efficiency based on graph mining. The method provided by the invention comprises the following steps: acquiring a uniform resource locator data set; selecting one piece of uniform resource locator data from the uniform resource locator data set as to-be-processed data; identifying the to-be-processed data to obtain a link separator; performing segmentation processing on the to-be-processed character data by adopting a link segmentation character to obtain interface data, and removing the to-be-processed data from the uniform resource locator data set; adding the interface data into the interface set, and returning to the step of selecting one piece of uniform resource locator data from the uniform resource locator data set to serve as the data to be processed for continuous execution until all the uniform resource locator data are selected; and based on the tree model, analyzing all the interface data to obtain an interface tree model, and analyzing the application interface to obtain an analysis result.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to an interface analysis method, device, computer equipment and storage medium based on graph mining. Background technique [0002] Existing companies need to analyze the interface in website service performance optimization and error troubleshooting, where the interface refers to the agreement on the connection of different components of the software system. The existing way to analyze the interface mainly uses regular expressions. The analysis process is to first obtain all network addresses, that is, URL (Uniform Resource Identifier, Uniform Resource Locator), and then use regular expressions. The solution is to use regular expressions to normalize the interfaces in all URLs, for example: URL1: https: / / api.example.com / v1 / users / 1; URL2: https: / / api.example.com / v1 / users / 2, the interface obtained after normalization is https: / / api.example. com / v1 / users, and finally analyze the obtaine...

AI Technical Summary

Problems solved by technology

[0003] However, the above method requires manual participation to find out a normalizable interface, and then express this interface through a normalized regular expression, resulting in strong artificial dependence and poor performance, and because the regular expression refers to the Character by character is matched, resulting in low analysis efficiency

[0004] Therefore, the existing method has the problem of low efficiency of interface analysis due to the use of regular expressions to analyze the interface

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