Empirical Performance Testing
Empirical Performance Testing is a software testing methodology that involves measuring and analyzing the performance characteristics of a system under realistic or simulated conditions to gather quantitative data. It focuses on evaluating metrics such as response time, throughput, resource utilization, and scalability to ensure the system meets performance requirements. This approach relies on actual observations and experiments rather than theoretical models, providing actionable insights for optimization.
Developers should use Empirical Performance Testing when building or maintaining systems where performance is critical, such as high-traffic web applications, real-time systems, or data-intensive processing pipelines. It helps identify bottlenecks, validate performance under load, and ensure reliability before deployment, making it essential for applications with strict Service Level Agreements (SLAs) or in industries like finance and e-commerce.