Testing from Algebraic Specifications: Test Data Set Selection by Unfolding Axioms

This paper deals with test data set selection from algebraic specifications. Test data sets are generated from selection criteria which are usually defined to cover specification axioms. The unfolding selection criterion consists in covering the input domain of an operation using case analysis. The...

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Hauptverfasser: Aiguier, Marc, Arnould, Agnès, Boin, Clément, Le Gall, Pascale, Marre, Bruno
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description This paper deals with test data set selection from algebraic specifications. Test data sets are generated from selection criteria which are usually defined to cover specification axioms. The unfolding selection criterion consists in covering the input domain of an operation using case analysis. The unfolding procedure can be iterated in order to split input domains of operations into finer subdomains. In this paper we propose to extend an unfolding procedure previously developed in [5, 19] that could only be performed on very low level, i.e. executable specifications. On the contrary, our new unfolding procedure can be applied to any positive conditional specification. We show that our unfolding procedure is sound (no test is added) and complete (no test is lost) with respect to the starting reference test data set.
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identifier ISSN: 0302-9743
ispartof Formal Approaches to Software Testing, 2006, Vol.3997, p.203-217
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1611-3349
language eng
recordid cdi_pascalfrancis_primary_20039798
source Springer Books
subjects algebraic specifications
Applied sciences
Computer Science
Computer science
control theory
systems
conditional rewriting
Exact sciences and technology
Multiagent Systems
Programming Languages
proof tree normalization
selection criteria
Software
Software Engineering
Specification-based testing
unfolding
Web
title Testing from Algebraic Specifications: Test Data Set Selection by Unfolding Axioms
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