Driving and driven hybrid testing method for simulation system

Abstract

The invention discloses a driving and driven hybrid testing method for a simulation system. The driving and driven hybrid testing method comprises the following steps of: (1) selecting a testing requirement item; (2) establishing a'testing preparation database'; (3) designing a case for testing; (4) searching the 'testing preparation database'; (5) acquiring expected output data or a testing pass standard of the case for testing from the data obtained in the step (4); (6) if the 'testing preparation database' does not have data meeting the requirement, adjusting the test method or expanding data conditions, and re-searching the 'testing preparation database'; and (7) after the step (6) is carried out, the 'testing preparation database' has no data meeting the requirement and the searching condition can not be adjusted, carrying out targeted data mining again on deficient data. The driving and driven hybrid testing method disclosed by the invention has the advantages that the sufficiency of test data is improved, the use of repeated data and the like is reduced, the practicability of the test data is effectively increased, and the implementation cost and the implementation time of the driven testing are reduced.

Description

technical field [0001] The invention belongs to the field of software testing, and in particular relates to a software passive testing method. Background technique [0002] When testing an industrial production online simulation system, testers design reasonable test cases to compare the operating data of the simulation software with the real data on site, but the operating parameters of each actual production device are often not allowed because of the need to test For adjustment, user requirements cannot affect production, and they are more afraid of risks. Data comparison cannot be performed based on the input data of active test case design, so active test methods are sometimes difficult to implement. [0003] In recent years, there have been few results related to passive testing of software at home and abroad, and the progress of research with practical value has been difficult and slow. Summarize the existing achievements by analogy: passive online monitoring can mar...

AI Technical Summary

Problems solved by technology

[0006] (3) The real data obtained online are often "same" repeatedly, which wastes valuable passive test implementation time and seriously affects test efficiency;

[0007] (4) The adequacy of test data for passive testing is generally problematic;

[0008] (5) Ordinary passive testing does not design test cases, and advanced testing methods are difficult to integrate

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