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» Using a neural network in the software testing process
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SIGSOFT
2008
ACM
14 years 9 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
COMPSAC
2002
IEEE
14 years 2 months ago
The Method of Software Reliability Growth Models Choice Using Assumptions Matrix
The method of choice of the software reliability models based on the analysis of assumptions and compatibility both input and output parameters is offered. This method is illustra...
Vyacheslav S. Kharchenko, O. M. Tarasyuk, Vladimir...
ICCS
2005
Springer
14 years 2 months ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai
EMNETS
2007
14 years 1 months ago
Increasing the reliability of wireless sensor networks with a distributed testing framework
Designing Wireless Sensor Networks (WSNs) has proven to be a slow, tedious and error-prone process due to the inherent intricacies of designing a distributed, wireless, and embedd...
Matthias Woehrle, Christian Plessl, Jan Beutel, Lo...
NIPS
2007
13 years 10 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...