Applying genetic algorithms to data selection for SQL mutation analysis

Authors:
Ana C.L. Monção;Celso G. Camilo-Jr;Leonardo T. Queiroz;Cassio L. Rodrigues;Plínio de Sá Leitão-Jr;Auri M.R. Vincenzi
Affiliations:
Federal University of Goias, goiania, Brazil;Federal University of Goias, goiania, Brazil;Federal University of Goias, goiania, Brazil;Federal University of Goias, goiania, Brazil;Federal University of Goias, goiania, Brazil;Federal University of Goias, goiania, Brazil
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

Citing 2
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Mutating database queries

Information and Software Technology
SQLMutation: A tool to generate mutants of SQL database queries

MUTATION '06 Proceedings of the Second Workshop on Mutation Analysis

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Abstract

This paper presents an approach to Structured Query Language (SQL) instruction tests via Mutation Analysis that uses Evolutionary Algorithms (GA) to select data to be used in the assessment of mutants. Based on a heuristic perspective, our aim is to select an effective data set which may help detect faults in the SQL instructions of a given application. The results obtained from experiments reveal a good performance using GA metaheuristic.