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Calamé, J.R. and Ioustinova, N. and van de Pol, J.C.
(2007)
Automatic Model-Based Generation of Parameterized Test Cases Using Data Abstraction.
In: Proceedings of the Doctoral Symposium affiliated with the Fifth Integrated Formal Methods Conference (IFM 2005), 29 Nov 2005, Eindhoven, The Netherlands.
pp. 25-48.
Electronic Notes in Theoretical Computer Science 191.
Elsevier.
ISSN 1571-0661
Full text available as:
Official URL: http://dx.doi.org/10.1016/j.entcs.2007.06.019 ![]() AbstractDeveloping test suites is a costly and error-prone process. Model-based test generation tools facilitate this process by automatically generating test cases from system models. The applicability of these tools, however, depends on the size of the target systems. Here, we propose an approach to generate test cases by combining data abstraction, enumerative test generation and constraint-solving. Given the concrete specification of a possibly infinite system, data abstraction allows to derive an abstract system, which is finite and thus suitable for the automatic generation of abstract test cases with enumerative tools. To execute abstract test cases, we have to instantiate them with concrete data. For data selection we make use of constraint-solving techniques.
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