Generation of Invalid Test Inputs from Over-Constrained Test Models for Combinatorial Robustness Testing
IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), pp. 171–180
Abstract
Testing with invalid test inputs is important to evaluate the robustness of a system. Combinatorial robustness testing is an approach to generate valid and invalid test inputs separately. Unfortunately, it is easy to create over-constrained test models. As a result, not all specified invalid values or invalid value combinations appear in the test suite. Previous work proposed to repair the test model manually or semi-automatically based on conflict detection and diagnosis techniques. In this paper, we extend that work and present a fully-automatic approach that allows to generate invalid test inputs from over-constrained test models based on alternative constraint handling strategies.
Authors 2
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Affiliation as printed
Research Group Software Construction, RWTH Aachen University, Aachen, NRW, Germany
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Affiliation as printed
Research Group Software Construction, RWTH Aachen University, Aachen, NRW, Germany
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