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» Using a neural network in the software testing process
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NN
2006
Springer
13 years 9 months ago
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: App
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Julien Brajard, Cédric Jamet, Cyril Moulin,...
EMSOFT
2005
Springer
14 years 2 months ago
Passive mid-stream monitoring of real-time properties
Passive monitoring or testing of complex systems and networks running in the field can provide valuable insights into their behavior in actual environments of use. In certain con...
Lalita Jategaonkar Jagadeesan, Ramesh Viswanathan
AMC
2007
154views more  AMC 2007»
13 years 9 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
ICSM
2002
IEEE
14 years 2 months ago
Maintaining Software with a Security Perspective
Testing for software security is a lengthy, complex and costly process. Currently, security testing is done using penetration analysis and formal verification of security kernels....
Kanta Jiwnani, Marvin V. Zelkowitz
SIGSOFT
2007
ACM
14 years 9 months ago
Program representations for testing wireless sensor network applications
Because of the growing complexity of wireless sensor network applications (WSNs), traditional software development tools are being developed that are specifically designed for the...
Nguyet T. M. Nguyen, Mary Lou Soffa