16 search results - page 2 / 4 » A specification-based fitness function for evolutionary test... |
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
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...
ICST
2010
IEEE
13 years 3 months ago
2010
IEEE
In the presence of an internal state, often it is required a sequence of function calls to test software. In fact, to cover a particular branch of the code, a sequence of previous...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...