Predicting software reliability with neural network ensembles

Expert Systems with Applications

Volumn 36, Issue 2 PART 1, 2009, Pages 2116-2122

  Zheng, Jun ^a  

^a NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

Author keywords

Neural network ensembles; Neural networks; Nonhomogeneous Poisson process (NHPP) model; Software reliability; Software reliability growth model (SRGM)

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; FORECASTING; NEURAL NETWORKS; POISSON DISTRIBUTION; SOFTWARE TESTING;

MULTIPLE NEURAL NETWORKS; NETWORK BASED SYSTEMS; NEURAL NETWORK ENSEMBLES; NON-HOMOGENEOUS POISSON PROCESS MODELS; NON-PARAMETRIC MODEL; SOFTWARE RELIABILITY ENGINEERING; SOFTWARE RELIABILITY GROWTH MODELS; SYSTEM ARCHITECTURES;

SOFTWARE RELIABILITY;

EID: 56349139168     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.12.029     Document Type: Article

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