Automatic performance testing method based on Jmeter

Abstract

The invention relates to the technical field of software testing, in particular to an automatic performance testing method based on Jmeter, which comprises the following steps: S1, defining keywords;S2, defining a test task; S3, defining a performance test scene; S4, selecting a performance test keyword; S5, setting a remote monitoring server; S6, setting a result checking strategy; S7, generating a Jmeter script; S8, operating the Jmeter script; S9, ending the operation of the Jmeter script; S10, generating a performance test report; S11, sending a test report mail, and ending the test. According to the method, the Jmeter script is quickly, accurately and automatically generated, so that the readability and understandability of script configuration are improved; multi-node concurrent execution and single-node performance test script execution are supported, and each test server is fully utilized by performance test under the condition of high concurrency, so that waste of the test servers is avoided; various performance indexes do not need to be counted manually, so that the performance test efficiency is greatly improved, and the test result is more accurate; the method is simple in performance test process, easy to operate and understand and capable of reducing the performance test difficulty.

Description

technical field [0001] The invention relates to the technical field of software testing, in particular to a performance automatic testing method based on Jmeter. Background technique [0002] Jmeter tool, as a popular open source performance testing tool, is increasingly used in performance testing of various servers, software systems, software interfaces, etc. Usually, the preparation, operation, and result statistics of performance test scripts are manually compiled, operated, and counted by performance testers. Due to the large differences in the experience and technical capabilities of performance testers, and the fact that there are a large number of difficult-to-master professional skills in Jmeter tools and scripts Terminology and techniques make the threshold of performance testing relatively high. At the same time, due to the diversity and variability of test requirements, test scripts will also change accordingly. Therefore, there are often many errors and deviat...

AI Technical Summary

Problems solved by technology

Usually, the preparation, operation, and result statistics of performance test scripts are manually compiled, operated, and counted by performance testers. Due to the large differences in the experience and technical capabilities of performance testers, and the fact that there are a large number of difficult-to-master professional skills in Jmeter tools and scripts Terminology and tricks, making the threshold of performance testing relatively high

At the same time, due to the diversity and variability of test requirements, test scripts will also change accordingly

Therefore, manually written Jmeter scripts and manually counted test results often have many errors and deviations in the actual execution of performance tests, resulting in low efficiency and inaccurate test data, or even failure to complete the expected performance test

[0003] In order to solve the above problems, some units or individuals have also proposed some performance semi-automated testing methods and systems based on Jmeter tools. These methods and systems can improve performance testing efficiency to a certain extent, but they cannot automatically generate complete Jmeter test scripts. One-click completion of the performance test still requires manual operation of some links. At the same time, the system operation process is cumbersome, not easy to get started, and some technologies need to be mastered. The threshold for performance testing is still relatively high, and the requirements for reducing the difficulty of performance testing have not been met.

In addition, due to the fact that there may be a large number of errors reported or incompatible with tools in semi-automated performance testing, or inaccurate statistics of performance testing data, the results of performance testing are not ideal, so the efficiency of Jmeter performance testing is not improved.

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