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On most projects or products, time and budget considerations do not allow exhausting testing for each set of test data, especially when there is a large pool of input combinations. Test data engineering uses equivalence classes, boundary values, and probable error to limit the number of acceptance tests required to achieve confidence that the application works as intended.
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