Lecture Notes in Computer Science, 2003, Volume 2651/2003, 625, DOI: 10.1007/3-540-44880-2_23

Automatically Generating Information from a Z Specification to Support the Classification Tree Method

Robert M. Hierons, Mark Harman and Harbhajan Singh

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Abstract

The Classification Tree Method provides a flexible basis for systematic testing. Traditionally the generation of a classification tree has been entirely manual. This paper introduces a new approach that extracts predicates from the Z specification of an operation and builds a Classification Tree from these predicates. It thus shows how the generation of a Classification Tree may be semi-automated on the basis of a Z specification. The paper also defines the notion of the test context of a predicate that determines when the value of this predicate is relevant. The test context is used to reduce the number of tests produced from the Classification Tree.

Keywords  Classification tree method - test automation - formal methods - Z notation

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