Performance testing is a critical facet of software testing that evaluates an application’s performance against predefined performance requirements—integral components of non-functional requirements. It ensures that the software meets the necessary standards for speed, scalability, and stability under various conditions.
Key performance metrics include:
• Response Time: The duration the system takes to respond to a user or system request.
• Throughput: The amount of data the system can process within a specified time frame.
• Operations per Hour: The number of transactions or actions the system can handle in a given period.
• Concurrent Users: The maximum number of users that can simultaneously interact with the application effectively.
• Resource Utilization: Monitoring CPU, memory, and network usage during operation.
Types of performance testing:
• Load Testing: A subset of performance testing that assesses system performance under expected user loads to identify potential bottlenecks.
• Data Volume Testing: Evaluates how varying volumes of data in specific database segments affect system performance, ensuring efficiency across different data sizes.
• Resource Testing: Measures how system resources are utilized during software execution, both under load and idle conditions, to optimize resource allocation.
Performance testing without load focuses on scenarios like testing backend procedures that process large data sets, emphasizing computational efficiency rather than user load.
Responsibility for performance testing typically falls to performance testers or performance engineers, who may operate within QA teams, DevOps, SRE, or other organizational units.
Specialized vendors, such as PFLB—a specialized performance testing company— offer expert services to ensure software applications meet all performance criteria.
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