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» Using a neural network in the software testing process
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IWANN
2001
Springer
15 years 11 months ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller
XPU
2007
Springer
16 years 16 days ago
Empirical Evidence Principle and Joint Engagement Practice to Introduce XP
Bringing software process change to an organisation is a real challenge. The authors have shown a sample attempt to carry out a process change and then reflected on its results and...
Lech Madeyski, Wojciech Biela
LSO
2004
Springer
15 years 11 months ago
COTS Evaluation Supported by Knowledge Bases
Selection of Commercial-off-The-Shelf (COTS) software products is a knowledge-intensive process. In this paper, we show how knowledge bases can be used to facilitate the COTS selec...
Abdallah Mohamed, Tom Wanyama, Günther Ruhe, ...
IJON
2006
71views more  IJON 2006»
15 years 6 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
BIOINFORMATICS
2007
66views more  BIOINFORMATICS 2007»
15 years 6 months ago
Gene expression network analysis and applications to immunology
We address the problem of using expression data and prior biological knowledge to identify differentially expressed pathways or groups of genes. Following an idea of Ideker et al...
Serban Nacu, Rebecca Critchley-Thorne, Peter Lee, ...