Test Selection Criteria for Quantifier-Free First-Order Specifications
Author(s) -
Marc Aiguier,
Agnès Arnould,
Pascale Le Gall,
Delphine Longuet
Publication year - 2007
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-75697-3
DOI - 10.1007/978-3-540-75698-9_10
Subject(s) - correctness , axiom , test (biology) , selection (genetic algorithm) , set (abstract data type) , matching (statistics) , test case , algorithm , simple (philosophy) , mathematics , computer science , quantifier elimination , programming language , artificial intelligence , statistics , paleontology , philosophy , geometry , regression analysis , epistemology , biology
This paper deals with test case selection from axiomatic specifications whose axioms are quantifier-free first-order formulae. Test cases are modeled as ground formulae and any specification has an exhaustive test data set whose successful submission means correctness, provided that the software under verification can be modeled as a first-order structure over the same signature. As it has already been done for positive conditional equational specifications, we derive test cases from selection criteria based on axiom coverage. Our selection criteria allows us to select test cases by iteratively unfolding an initial target test purpose, given as a formula. The initial reference test set is iteratively split into successive subsets. Each subset of test cases is defined by constraints which are increasingly introduced by the unfolding procedure to ensure an appropriate matching between the current test purpose under unfolding and specification axioms. Our unfolding procedure is sound (no test is added) and complete (no test is lost) with respect to the starting test purpose. It is exemplified on a simple example.
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