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PPSN
2004
Springer
14 years 21 days ago
On Test Functions for Evolutionary Multi-objective Optimization
Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhar...
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 11 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
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 17 days ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
GECCO
2004
Springer
259views Optimization» more  GECCO 2004»
14 years 22 days ago
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
Joachim Wegener, Oliver Bühler
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
14 years 17 days ago
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
Leonardo Bottaci