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» Using a neural network in the software testing process
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 3 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
COMPSAC
2004
IEEE
14 years 22 days ago
Testing Context-Sensitive Middleware-Based Software Applications
Context-sensitive middleware-based software is an emerging kind of ubiquitous computing application. The components of such software communicate proactively among themselves accor...
T. H. Tse, Stephen S. Yau, W. K. Chan, Heng Lu, Ts...
UML
2001
Springer
14 years 1 months ago
A UML-integrated Test Description Language for Component Testing
Abstract: A mass market in reusable components demands a high level of component quality, testing being a crucial part of software quality assurance. For components modelled in UML...
Simon Pickin, Claude Jard, Thierry Heuillard, Jean...
ISNN
2007
Springer
14 years 3 months ago
Integrated Analytic Framework for Neural Network Construction
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen...
GECCO
2010
Springer
196views Optimization» more  GECCO 2010»
14 years 1 months ago
Using synthetic test suites to empirically compare search-based and greedy prioritizers
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Zachary D. Williams, Gregory M. Kapfhammer