Automatic mutation based test data generation

Authors:
Mike Papadakis;Nicos Malevris
Affiliations:
Athens University of Economics and Business , Athens, Greece;Athens University of Economics and Business , Athens, Greece
Venue:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Year:
2011

Citing 7
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Abstract

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.