Symbolic Input-Output Conformance Checking for Model-Based Mutation Testing

Bernhard K. Aichernig, Martin Tappler
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="" style="color: black;">Electronical Notes in Theoretical Computer Science</a> </i> &nbsp;
This paper presents an approach to use symbolic input output conformance checking for mutation-based test case generation. In this approach, a possibly non-deterministic action system model is used as basis for generating a number of mutants. Subsequently after the generation of mutants, the original model and the mutants are simultaneously symbolically executed and tested for conformance. Distinguishing test cases are generated, if non-conformance is detected during this process. Several
more &raquo; ... sations of the conformance check are presented and their effectiveness is underpinned by listing experimental results.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1016/j.entcs.2016.01.002</a> <a target="_blank" rel="external noopener" href="">fatcat:32577qon5bcv3bvrfm7rgshfqi</a> </span>
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