The procedure involves employing a software tool designed for load testing to simulate user traffic against a system. This testing suite is configured to ingest a specific data format, namely JavaScript Object Notation, which contains the parameters and scenarios for the load test. For example, the JSON file might specify the number of virtual users, the duration of the test, and the specific API endpoints to be targeted during the simulation. This allows testers to define complex load scenarios and evaluate the system’s performance under controlled conditions.
The significance of this method lies in its ability to automate and standardize load testing processes. This standardization ensures that tests are repeatable and comparable over time, enabling accurate tracking of performance improvements or regressions. Moreover, the use of a structured data format facilitates easy modification and version control of test configurations, promoting collaboration among team members and streamlining the testing workflow. Historically, the adoption of such methods represents a shift from manual, ad-hoc testing approaches to more scientific and data-driven performance evaluation practices.
