Robustness testing is a process that evaluates how well a system can handle errors, unexpected inputs, or adverse conditions without failing. This type of testing is crucial in decision-making algorithms as it ensures that they can operate reliably in a variety of situations, including those that are less than ideal. By simulating various stress conditions and edge cases, robustness testing helps to identify weaknesses in algorithms and enhances their overall performance and safety.
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