Web intelligent test method based on knowledge graph

Abstract

The invention discloses a Web intelligent test method based on a knowledge graph. The Web intelligent test method comprises the following steps: step 1, performing generalized ontology modeling in combination with characteristics of a Web application and an HTML page; step 2, carrying out knowledge extraction from a page of the tested Web application; step 3, storing the ontology tree, the extracted file relationship and the knowledge graph through a graph database; step 4, carrying out knowledge detection on the knowledge graph; step 5, carrying out knowledge reasoning on the knowledge graphto generate a test case; 6, compiling an automatic test script according to the test case, executing the test and generating a test report; step 7, when version iteration or operation is carried out,carrying out knowledge updating on the knowledge graph; and step 8, carrying out quality evaluation on the knowledge graph. According to the Web intelligent test method, the blank that the knowledge graph has no application in the test field is filled up, and the design, maintenance, automatic execution, self-optimization and continuous updating of the test process are completed without manual participation.

Description

technical field [0001] The invention relates to the field of software testing and artificial intelligence, in particular to a method for intelligent testing of Web based on knowledge graph. Background technique [0002] With the rapid development of information technology, web applications have gradually become mainstream applications due to their ease of use, versatility, and high scalability, involving government affairs, informatization, social networking, shopping, entertainment, and management. At the same time, with the rapid changes in the market environment and the continuous growth of user needs, the iterative updates of Web applications have become more and more frequent. As a result, higher requirements have been put forward for development and testing, and the testing work has become more and more complicated. It is becoming more and more complex, the workload is increasing, and the response speed is getting faster and faster. [0003] In order to cope with lo...

AI Technical Summary

Problems solved by technology

Compared with the current large number of automated tests that rely on manual design, development and maintenance, the web intelligent test based on knowledge graph can complete the design, maintenance, execution and self-optimization of the test with a very small amount of human participation, and at the same time It also makes up for the knowledge map as a brand-new technology that has not yet been applied in the testing field.

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