What is Load testing?
Load testing is one of the elements of complex performance testing aimed at analyzing the speed of the system's response to an external request. The main purpose of this check is to find out whether the application (device) being tested meets the stated requirements. This method is widely used in professional circles during product testing when it is necessary to understand how the program will react to simultaneous operation by a certain number of users.
Load testing is most often used to investigate multi-user resources and various general systems, but other types of software products can also be tested using this method. For example, you can check whether the graphics editor can handle opening a large image. It is also possible to find out the system’s ability to generate a financial report by analyzing the data for several months or even years. A qualitatively created loading test will provide the most reliable results.
The basic idea of load testing is to create a specific load using the same hardware and software to track the product's performance index. This method will be most effective in the early stages of development, because this approach will allow you to obtain optimal results in measuring system performance indicators.
Main principles of the load testing :
- Uniqueness of the requests. Real statistics, requirements, and expected behavior of the system should be taken into account when creating the scenario.
- System response time. By managing a certain number of measurements, it is possible to determine to which time interval a particular request will fall.
- The distribution of the system depends on the response time. The number of nodes affects the spread of the system's response time, each of which increases the amount of delay when scanning requests. This fact should be taken into consideration when drawing up product performance requirements.
- Correctness of reproduction of loading profiles. The complexity of the software requires a significant investment of time and resources for design, programming and further support. Test development and system functionality coverage should be balanced to obtain the most effective test results in the shortest possible time.