A Graph Mining-based Software Fault Location Method for Electronic Taxation System

Abstract

The invention discloses a graph-mining-based electronic tax system software fault location method. The method includes: monitoring an executing process of electronic tax system software to be detected, to obtain a dynamic call structure of the software, establishing a call network graph of weights, and analyzing and discovering a frequent subgraph structure of the software during executing, by means of the graph mining technology. Whether or not the current electronic tax system software has abnormally called frequent subgraphs is determined by comparison according to an abnormal call frequent subgraph library of the electronic tax system software, and software fault detection and location are is achieved.

Description

technical field [0001] The invention belongs to the fields of software program call graph construction and graph mining, and relates to a graph mining-based electronic tax system software fault location method. Background technique [0002] Taxation is the most important form and source of national (government) public finance revenue. With the rapid development of the information age, the trend of economic activities over time and space has begun to challenge the traditional tax declaration method. With the continuous deepening and improvement of tax collection and management reform, the use of information and modern management methods has become a trend, and remote electronic tax declaration has become an advanced declaration method. However, the electronic taxation system software carrying the remote tax declaration method may have some program loopholes during the development process, and different software loopholes will lead to different adverse consequences. For examp...

AI Technical Summary

Problems solved by technology

However, due to the possibility of some program loopholes in the development process of the electronic taxation system software carrying the remote tax declaration method, different software loopholes will lead to different adverse consequences

For example, there are loopholes in the tax software login system that may lead criminals to steal the account or password of the taxpayer, and then pretend to or forge the identity of the taxpayer to carry out malicious tax declaration operations. cause irreparable major economic losses

Therefore, the work of detecting electronic tax software loopholes has a strong social demand and practical significance, but in the process of loophole detection for programs in the electronic tax system, none of the existing technologies can effectively realize the software failure of the electronic tax system. Therefore, it seriously affects the maintenance and processing of faulty software

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