What is decision table testing primarily used for?

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Decision table testing is primarily used for designing test cases that involve multiple conditions and actions, making it an effective way to handle a wide range of input-output combinations. This approach helps to systematically capture and represent the different scenarios that a system might encounter, especially when there are complex business rules to apply.

By creating a decision table, testers outline various conditions that could lead to specific actions or outcomes. Each row of the table represents a unique combination of conditions and the corresponding expected result, allowing for clear visualization and organization of various scenarios in the testing process.

This method is particularly valuable in situations where there are numerous combinations of inputs that need to be evaluated. It ensures thorough coverage of the functional requirements, helping to identify potential issues or gaps within the application's logic.

In contrast, other methods mentioned, such as creating user documentation, performing load testing, or conducting usability testing, are focused on different aspects of software evaluation and do not emphasize the systematic approach to handling multiple input-output scenarios that decision table testing specifically addresses.

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