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» Evolutionary testing of state-based programs
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CACM
2010
105views more  CACM 2010»
13 years 7 months ago
Automatic program repair with evolutionary computation
Therearemanymethodsfordetectingandmitigatingsoftware errors but few generic methods for automatically repairing errors once they are discovered. This paper highlights recent work ...
Westley Weimer, Stephanie Forrest, Claire Le Goues...
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
14 years 29 days ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
GECCO
2004
Springer
14 years 25 days ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
RISE
2005
Springer
14 years 28 days 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 inp...
Enrique Alba, J. Francisco Chicano