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» Test generation to expose changes in evolving programs
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ECML
2006
Springer
13 years 10 months ago
Automatically Evolving Rule Induction Algorithms
Research in the rule induction algorithm field produced many algorithms in the last 30 years. However, these algorithms are usually obtained from a few basic rule induction algorit...
Gisele L. Pappa, Alex Alves Freitas
SIGSOFT
2000
ACM
13 years 11 months ago
Bugs in the programs
Fuzzing is a well-known black-box approach to the security testing of applications. Fuzzing has many advantages in terms of simplicity and effectiveness over more complex, expensi...
Richard D. Pethia
BMCBI
2007
144views more  BMCBI 2007»
13 years 6 months ago
Motif kernel generated by genetic programming improves remote homology and fold detection
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
Tony Håndstad, Arne J. H. Hestnes, Pål...
ICST
2010
IEEE
13 years 5 months ago
Repairing GUI Test Suites Using a Genetic Algorithm
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
Si Huang, Myra B. Cohen, Atif M. Memon
ICSEA
2007
IEEE
14 years 1 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...