A performance testing method and device

Abstract

The embodiment of the present invention discloses a performance testing method, including: obtaining a control function mapping table, the control function mapping table including multiple mapping relationships between operating controls and calling functions; determining the difference between the current version code and the reference version code function; according to the difference function, look up the operation control corresponding to the difference function from the control function mapping table; trigger the operation control corresponding to the difference function in the current version code to test, and obtain The test data of the current version code; according to the test data of the current version code, determine the measurement result of the current version code. The embodiment of the invention also discloses a performance testing device. By adopting the embodiment of the present invention, the test input set can be reduced, the complexity of the test can be reduced, and the efficiency of the test can be improved.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a performance testing method and device. Background technique [0002] In the process of developing a software, developers need to continuously improve the version code of the software. After developing a new version code, they need to test the new version code to check whether there is a bug in the new version code. Among the technical solutions, there are several testing methods as follows: First, the core test scenario test is covered, and the test input set related to the application scenario with high operation frequency is screened according to the user's data reporting feedback or subjective judgment. However, for a large number of The user's product can only cover the core scene and cannot meet the actual test needs; second, use multiple test equipment to test in parallel, but it cannot meet the test requirements under resource constraints; third, perform machine lear...

AI Technical Summary

Problems solved by technology

[0002] In the process of developing a software, developers need to continuously improve the version code of the software. After developing a new version code, they need to test the new version code to check whether there is a bug in the new version code. Among the technical solutions, there are several testing methods as follows: First, the core test scenario test is covered, and the test input set related to the application scenario with high operation frequency is screened according to the user's data reporting feedback or subjective judgment. However, for a large number of The user's product can only cover the core scene and cannot meet the actual test needs; second, use multiple test equipment to test in parallel, but it cannot meet the test requirements under resource constraints; third, perform machine learning on the records of software input and output , looking for some input scenarios that are likely to cause software exceptions to be tested first, but the implementation complexity and learning cost are too high; fourth, the test input set is orthogonalized, and the test input set (a set of input operations) is minimized. Correlation, however, for different test scenarios, how to reduce the correlation of input set elements is difficult to achieve

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