Seguir
Dr. Pratik Roy
Dr. Pratik Roy
Assistant Professor, Department of Computer Engineering and Applications, GLA University, India
E-mail confirmado em gla.ac.in
Título
Citado por
Citado por
Ano
Robust feedforward and recurrent neural network based dynamic weighted combination models for software reliability prediction
P Roy, GS Mahapatra, P Rani, SK Pandey, KN Dey
Applied Soft Computing 22, 629–637, 2014
772014
Forecasting of software reliability using neighborhood fuzzy particle swarm optimization based novel neural network
P Roy, GS Mahapatra, KN Dey
IEEE/CAA Journal of Automatica Sinica 6 (6), 1365-1383, 2019
592019
Entropy based region reducing genetic algorithm for reliability redundancy allocation in interval environment
P Roy, BS Mahapatra, GS Mahapatra, PK Roy
Expert systems with applications 41 (14), 6147-6160, 2014
512014
An NHPP software reliability growth model with imperfect debugging and error generation
P Roy, GS Mahapatra, KN Dey
International Journal of Reliability, Quality and Safety Engineering 21 (02 …, 2014
472014
Neuro-genetic approach on logistic model based software reliability prediction
P Roy, GS Mahapatra, KN Dey
Expert systems with Applications 42 (10), 4709-4718, 2015
462015
Modified Jelinski-Moranda software reliability model with imperfect debugging phenomenon
GS Mahapatra, P Roy
International Journal of Computer Applications 48 (18), 38-46, 2012
232012
An efficient particle swarm optimization-based neural network approach for software reliability assessment
P Roy, GS Mahapatra, KN Dey
International Journal of Reliability, Quality and Safety Engineering 24 (04 …, 2017
202017
An S-shaped software reliability model with imperfect debugging and improved testing learning process
P Roy, GS Mahapatra, KN Dey
International Journal of Reliability and Safety 7 (4), 372-387, 2013
192013
A genetic algorithm approach for reliability of bridge network in fuzzy system
GS Mahapatra, P Roy
Journal of Information and Computing Science 6 (4), 243-254, 2011
42011
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–9