Test case generation method and device

Abstract

The invention discloses a test case generation method and device. The method comprises the following steps: receiving a test case generation request; obtaining a test scene and corresponding test atomic data, and determining the test atomic data and the test scene according to business log data stored in the offline log library; and based on a preset case template, performing case assembly processing on the test scene and the test atomic data to generate a test case. According to the scheme provided by the invention, the test scene and the test atomic data are generated based on the service log data formed by the real service request stored in the offline log, the association relationship between services is reserved, the problem that data required by a traditional performance test is difficult to prepare is solved, the generated test scene is comprehensive, namely, the full-scene performance test is supported, the universality is improved, and the test case coverage rate is also ensured. And moreover, no influence is generated on a production system, and the safety is improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a test case generation method and device. Background technique [0002] Performance testing has always been an important test method to ensure system stability. It evaluates service performance and detects system capacity by simulating test traffic. Among them, the preparation of use cases for performance testing is the most complex and heavy workload. It not only requires testers to be familiar with business characteristics, design typical test scenarios, but also prepare tens of thousands of available test data. [0003] Especially with the gradual promotion of middle-end architecture and the flourishing of front-end business models, various performance test scenarios need to be customized. For example, a public middle platform involves multiple front-end businesses calling together. The performance test of this type of middle platform needs to simulate the test scenari...

AI Technical Summary

Problems solved by technology

[0008] 1) The accuracy of the test results of the solution based on functional test cases to collect performance data is low: the functional test cannot generate a large concurrent pressure on the system under test, and the system performance is only evaluated based on the resource data in the functional test state, which is different from the performance under the real stress state. Big difference, low accuracy

[0009] 2) The scheme of obtaining test cases based on cluster analysis of traffic data has low test coverage: this scheme can only obtain typical test cases and cannot cover all test scenarios

Moreover, this solution breaks away from the correlation between different services, and cannot evaluate the performance impact on the system under test when different services are superimposed

Images