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RISE
2005
Springer

Software Testing with Evolutionary Strategies

9 years 11 months ago
Software Testing with Evolutionary Strategies
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of input data to test a program. This is a required step in software development and a time consuming task in all software companies. We describe our proposal and study the influence of some parameters of the algorithm in the results. We use a benchmark of eleven programs that includes fundamental algorithms in computer science. Finally, we compare our ES with a Genetic Algorithm (GA), a well-known algorithm in this domain. The results show that the ES obtains in general better results than the GA for the benchmark used.
Enrique Alba, J. Francisco Chicano
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RISE
Authors Enrique Alba, J. Francisco Chicano
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