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You will often see or hear the following terms when conducting performance testing. Some of these terms may be common in your organization, industry, or peer network, while others may not. These terms and concepts have been included because they are used frequently enough, and cause enough confusion, to make them worth knowing. Term Component test Notes A component test is any performance test that targets an architectural component of the application. Commonly tested components include servers, databases, networks, firewalls, clients, and storage devices. Investigation is an activity based on collecting information related to the speed, scalability, and/or stability characteristics of the product under test that may have value in determining or improving product quality. Investigation is frequently employed to prove or disprove hypotheses regarding the root cause of one or more observed performance issues. A smoke test is the initial run of a performance test to see if your application can perform its operations under a normal load. In the context of performance testing, a unit test is any test that targets a module of code where that module is any logical subset of the entire existing code base of the application, with a focus on performance characteristics. Commonly tested modules include functions, procedures, routines, objects, methods, and classes. Performance unit
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tests are frequently created and conducted by the developer who wrote the module of code being tested. Validation test A validation test compares the speed, scalability, and/or stability characteristics of the product under test against the expectations that have been set or presumed for that product.
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Performance testing is a broad and complex activity that can take many forms, address many risks, and provide a wide range of value to an organization. It is important to understand the different performance test types in order to reduce risks, minimize cost, and know when to apply the appropriate test over the course of a given performance-testing project. To apply different test types over the course of a performance test, you need to evaluate the following key points: The objectives of the performance test. The context of the performance test; for example, the resources involved, cost, and potential return on the testing effort.
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3 Risks Addressed Through Performance Testing Objectives
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Understand how speed, scalability, and stability are viewed from a performancetesting perspective. Learn how performance testing can be used to mitigate risks related to speed, scalability, and stability. Learn about the aspects of these risks that performance testing does not adequately address.
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Overview
Performance testing is indispensable for managing certain significant business risks. For example, if your Web site cannot handle the volume of traffic it receives, your customers will shop somewhere else. Beyond identifying the obvious risks, performance testing can be a useful way of detecting many other potential problems. While performance testing does not replace other types of testing, it can reveal information relevant to usability, functionality, security, and corporate image that is difficult to obtain in other ways. Many businesses and performance testers find it valuable to think of the risks that performance testing can address in terms of three categories: speed, scalability, and stability.
How to Use This
Use this chapter to learn about typical performance risks, the performance test types related to those risks, and proven strategies to mitigate those risks. To get the most from this chapter: Use the Summary Matrix section to understand the different types of tests and the risks they can mitigate. Use the various risk type sections to understand related strategies that can help you determine the best testing approach for your particular situation.
Summary Matrix of Risks Addressed by Performance Testing Types
Performance test type Capacity Risk(s) addressed Is system capacity meeting business volume under both normal and peak load conditions Is this component meeting expectations Is this component reasonably well optimized Is the observed performance issue caused by this component
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