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Describe Equivalence Partitioning
Ans) Input data of a program is separated into different categories so that test cases can be developed for every category of input data. The goal of equivalence partitioning is to come out with test cases so that errors are uncovered and test cases can be carried out more efficiently. The dissimilar categories of input data are known as Equivalence Classes.
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ER model shows Static view.
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