Which of the following statements about performance testing tools is NOT correct?

Which of the following statements about performance testing tools is NOT correct?
A . Typical metrics and reports provided by performance testing tools include the number of simulated users throughout the test, and the number and type of transactions generated by the simulated users, and the arrival rate of the transactions.
B . Significant factors to consider in the implementation of performance testing tools include the flexibility of the tool to allow different operational profiles to be easily implemented, and the hardware and network bandwidth required to generate the load.
C . Performance testing tools typically drive the application by simulating user interaction at the graphical user interface level to more accurately measure response times.
D . Performance testing tools generate a load by simulating a large number of virtual users following their designated operational profiles to generate specific volumes of input data.

View Answer

Answer: C

Explanation:

The statement about performance testing tools that is NOT correct is that they typically drive the application by simulating user interaction at the graphical user interface (GUI) level to more accurately measure response times. In practice, performance testing tools often simulate user interactions at a protocol or service level rather than the GUI level. This approach allows the tools to generate a high load by simulating many virtual users, which would be challenging to achieve with GUI-level interactions due to the higher resource consumption and slower execution speed associated with GUI automation.

Performance testing tools are designed to assess the performance of a system under a particular load and are not primarily focused on the user interface. They simulate multiple users accessing the system simultaneously, which helps in identifying bottlenecks, understanding the system’s behavior under load, and determining how the system scales with increasing load. The tools typically simulate user requests to the server, bypassing the GUI to directly test the backend, APIs, or other service endpoints. This method allows for more efficient and scalable testing, enabling the simulation of thousands of users without the overhead of rendering the GUI.