Kanika Vatsyayan
To ensure that an application or system can handle expected user loads, Performance testing is critical.
It ensures that an application or system can handle the expected user load without slowing down or crashing. This is especially important for applications that experience high traffic or are mission-critical. However, working on performance testing services often leads testers into committing some unwanted mistakes, if not planned the entire test process carefully.
Here we bring you top 12 performance testing mistakes that are common amongst testers and could be easily skipped with a little extra care:
- Not defining clear performance testing goals: Without clearly defined performance testing goals, it can be challenging to determine the scope of testing and what metrics to measure.
- Not involving all stakeholders: Performance testing should involve all stakeholders, including developers, testers, operations personnel, and business users. Failure to include all stakeholders can lead to misunderstandings and gaps in testing.
- Not using realistic test data: Using unrealistic test data can skew performance test results, leading to inaccurate conclusions and potentially costly mistakes.
- Not simulating real-world scenarios: Performance testing should simulate real-world scenarios to provide accurate data on system performance under expected loads.
- Not considering network latency: Network latency can significantly impact system performance. Failure to consider this can lead to inaccurate test results and conclusions.
- Not testing with different browser types and versions: Users may access your application from different browsers and versions, and performance can vary depending on the browser used. Testing with different browsers is crucial to ensure optimal performance across all platforms.
- Not testing with different device types and screen sizes: Like browsers, users may access your application from different devices with varying screen sizes, resolutions, and processing capabilities. Testing with different devices is crucial to ensure optimal performance across all platforms.
- Not testing with realistic user load: Testing with unrealistic user loads can lead to inaccurate test results and conclusions. Testing with realistic user loads is critical to determining how your application will perform in real-world scenarios.
- Not identifying and fixing bottlenecks: Performance testing should aim to identify system bottlenecks and optimize them to improve overall performance.
- Not considering security implications: Performance testing should also consider potential security implications, such as denial-of-service attacks, and ensure that the application can handle these scenarios.
- Not conducting testing on an ongoing basis: Performance testing should be an ongoing process, with regular testing and optimization to ensure optimal system performance.
- Not analyzing and learning from test results: Performance testing should aim to provide insights and learning opportunities for future optimization and improvements. Failure to analyze and learn from test results can lead to missed opportunities for performance optimization.
Since the current market landscape has become extremely competitive, keeping up with fast-paced deliveries and ensuring quality require a thorough understanding of the product objectives, test requirements, and process limitations.
Right from the task of defining test cases to selection of right tools, it is necessary that time, finances, and overall benefits of a test strategy must be considered. And if you are planning to integrate test automation into your QA process, make sure you are always aware of the above 12 mistakes.
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Kanika Vatsyayan
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