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Automatic mutation based test data generation http://dl.acm.org/citation.cfm?doid=2001858.2001997 This paper proposes a search based test data generation approach for mutation testing. The proposed approach uses a novel dynamic execution scheme in order to both introduce mutants and to effectively guide the search process towards generating test cases able to kill those mutants. A novel fitness function and its integration with a dynamically adjusted mechanism are also proposed. Preliminary experimentation with a hill climbing search based approach reveals its power when compared against a previously proposed one and random testing. |
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