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An approach to functional testing is described in which the design of a program is viewed as an integrated collection of functions. The selection of test data depends on the functions used in the design and on the value spaces over which the functions are defined. The basic ideas in the method were developed during the study of a collection of scientific programs containing errors. The method was the most reliable testing technique for discovering the errors. It was found to be significantly more reliable than structural testing. The two techniques are compared and their relative advantages and limitations are discussed.