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» Genetic Algorithms for Randomized Unit Testing
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IWANN
2009
Springer
15 years 4 months ago
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...
ICST
2010
IEEE
14 years 8 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
OOPSLA
2007
Springer
15 years 3 months ago
Randoop: feedback-directed random testing for Java
RANDOOP FOR JAVA generates unit tests for Java code using feedback-directed random test generation. Below we describe RANDOOP’s input, output, and test generation algorithm. We ...
Carlos Pacheco, Michael D. Ernst
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
ISSTA
2004
ACM
15 years 2 months ago
Evolutionary testing of classes
Object oriented programming promotes reuse of classes in multiple contexts. Thus, a class is designed and implemented with several usage scenarios in mind, some of which possibly ...
Paolo Tonella