User Story: As a user I want to be able to calculate tax percentage based on amount of income.
What is the best black box test design technique for verifying the accuracy of this user story?
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Equivalence partitioning is a black box test design technique suitable for verifying the accuracy of user stories like the one described. It involves dividing input data of a software unit into partitions of equivalent data from which test cases can be derived. For a user story involving tax percentage calculation based on income, Equivalence Partitioning allows the creation of test cases for different income ranges (low, medium, high) to ensure that the system accurately calculates tax percentages for each partition, thus covering various scenarios within the application's functionality.
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