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GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 8 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim
GECCO
2009
Springer
163views Optimization» more  GECCO 2009»
13 years 11 months ago
Dealing with inheritance in OO evolutionary testing
Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural language...
Javier Ferrer, J. Francisco Chicano, Enrique Alba
CEC
2010
IEEE
13 years 1 months ago
Improving evolutionary testing by means of efficiency enhancement techniques
TestFul is a novel evolutionary testing approach for object-oriented programs with complex internal states. In our preliminary experiments, it already outperformed some of the well...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
EC
2008
146views ECommerce» more  EC 2008»
13 years 4 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 8 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
Mike Preuss