Equivalence partitioning is best defined as an analysis technique that divides inputs into groups that are expected to exhibit similar behaviors. The idea is to reduce the number of test cases by selecting one representative value from each group or partition. Equivalence partitioning does not apply to time-related data classes only, but to any type of input data that can be divided into partitions. Equivalence partitioning is not a form of white-box testing, but a black-box testing technique. Equivalence partitioning is not a method to reduce test coverage, but a method to achieve test coverage more efficiently.