The structral complexity of flowgraphs
Graph theory with applications to algorithms and computer science
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
An introduction to differential evolution
New ideas in optimization
Mechanical engineering design optimization by differential evolution
New ideas in optimization
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
Proceedings of the 5th International Conference on Genetic Algorithms
Application of a breeder genetic algorithm for finite impulse filter optimization
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: FEA 2002
Optimization with constraints using a cultured differential evolution approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Two improved differential evolution schemes for faster global search
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
A constraint handling approach for the differential evolution algorithm
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Predictive models for the breeder genetic algorithm i. continuous parameter optimization
Evolutionary Computation
The equation for response to selection and its use for prediction
Evolutionary Computation
Handling Constraints for Search Based Software Test Data Generation
ICSTW '08 Proceedings of the 2008 IEEE International Conference on Software Testing Verification and Validation Workshop
Advances in Differential Evolution
Advances in Differential Evolution
Automated test data generation using a scatter search approach
Information and Software Technology
Empirical evaluation of a nesting testability transformation for evolutionary testing
ACM Transactions on Software Engineering and Methodology (TOSEM)
Cellular-genetic test data generation
ACM SIGSOFT Software Engineering Notes
Artificial life and cellular automata based automated test case generator
ACM SIGSOFT Software Engineering Notes
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One of the main tasks software testing involves is the generation of the test inputs to be used during the test. Due to its expensive cost, the automation of this task has become one of the key issues in the area. Recently, this generation has been explicitly formulated as the resolution of a set of constrained optimisation problems. Differential Evolution (DE) is a population based evolutionary algorithm which has been successfully applied in a number of domains, including constrained optimisation. We present a test data generator employing DE to solve each of the constrained optimisation problems, and empirically evaluate its performance for several DE models. With the aim of comparing this technique with other approaches, we extend the experiments to the Breeder Genetic Algorithm and face it to DE, and compare different test data generators in the literature with the DE approach. The results present DE as a promising solution technique for this real-world problem.