Before an application can be deployed, it should ideally be tested under different operating conditions to make sure it can perform as expected. To do this, software testing professionals use performance testing tools (sometimes just called “testing tools”) to isolate and identify potential client, network, and server bottlenecks that might affect how an application will behave in production.
Some performance test products are commercial. Others are open source. They do QA testing and stress testing. They can do either manual testing or automated testing. Most tools have features for extensive test automation to save time. Most are able to do a website test.
Test automation users on IT Central Station have commented at length regarding the best features to seek in an automation testing toolset or performance testing tool. Users want testing tools to be very easy to download and set up. Ease of use and levels of automation are also important, given the limitations one testing personnel and resources.
A good performance testing tool should make it easy to create test plans and follow through on them. According to IT Central Station users, a tool should be able to simulate a load of concurrent users and enable extensive, flexible reporting output to show the results.
Some test tools offer a recording feature, which makes it easy to create test plans. For instance, the tool might provide testing templates. The tool should support multiple protocols (HTTP, HTTPS, FTP, SMTP etc.) and technology stacks, such as SAP, JAVA and so forth. Users value flexibility and the ability to monitor systems under test. Testing tools that offer comprehensive results analysis are praised for making testing teamwork more efficient.
Some users want performance monitoring tools to offer powerful scripting tools to record user actions programmatically. A flexible, versatile scripting engine can extend tests with success-failure checks that make the test more intelligent. The ability to ramp concurrent users makes the tool representative of real world use conditions. In this way, the tester can scale up in order to simulate load.