Classification Tree Method: Difference between revisions

Revision as of 09:58, 12 August 2013

Revision as of 10:00, 12 August 2013

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With a selected system under test, the first step of the classification tree method is the identification of test relevant aspects.

Any system under test can be described by a set of classifications, holding both input and output parameters.

(Input paramters can also include environments[[Environment_(systems)|environment]]s states, [[pre-condition]]s and other, rather uncommon parameters).

Each classification can have any number of disjoint classes, describing the occurrence of the parameter.

The selection of classes typically followes the principle of [[equivalence partitioning]] for abstract test cases and [[boundary-value analysis]] for concrete test cases.