Method for determining crowd test feedback effectiveness, test device and system

Abstract

The invention discloses a method for determining crowd test feedback effectiveness. The method is applied to a crowd test system which comprises a test device and multiple user devices, and a crowd test application is installed on each user device; the method comprises the steps that a test task is pushed to each user device through the corresponding crowd test application, and test feedbacks, sent by the user devices taking part in tests, of the test tasks are received, wherein the test feedbacks comprise test cases with performed marks; the number of performed benchmark test cases is determined from the test cases with the preformed marks, and the coverage rate of the benchmark test cases performed by the test feedbacks is determined according to the number and the amount of the benchmark test cases known in advance; when the coverage rate of the performed bench mark test cases is larger than a first threshold value, the test feedbacks are determined to be effective test feedbacks. According to the method for determining the crowd test feedback effectiveness, the test feedbacks can be analyzed first, the feedbacks are adopted after it is determined that the feedbacks are effective feedbacks, and therefore the test efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method, testing equipment and a system for determining the effectiveness of public test feedback. Background technique [0002] Crowdtesting is a new testing method, that is, the test task issuer releases the test task through the test platform, and the user can install the test application (APP) on the mobile terminal, and then view the test task on the test application, and the user can execute it according to the requirements. Test tasks, and then feed back the test results to the test platform. The test platform can analyze the user's test results. Of course, the test platform will give the user points or other rewards. [0003] Crowdtest can take advantage of huge external network users and rich models to make up for some deficiencies in automated testing. However, the current public testing program will analyze all test feedback and give corresponding gifts, and the...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of inefficient testing caused by manual screening of available test feedback in the prior art, an embodiment of the present invention provides a method for determining the validity of public test feedback, which can, when receiving the test feedback sent by the user equipment, First analyze the test feedback, and then use it after confirming that it is valid feedback. There is no need to collect all test feedback and then manually screen it, thereby improving the efficiency of the test

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