Software reliability prediction based on support vector regression using a hybrid genetic algorithm and simulated annealing algorithm

IET Software

Volumn 5, Issue 4, 2011, Pages 398-405

  Jin, C ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; HYBRID GENETIC ALGORITHMS; LOCAL MINIMUMS; NON-LINEAR; OPTIMISATIONS; PREMATURE CONVERGENCE; REAL SOFTWARES; RELIABILITY PREDICTION; SIMULATED ANNEALING ALGORITHMS; SOFTWARE DEVELOPMENT PROCESS; SOFTWARE LIFE CYCLES; SOFTWARE RELIABILITY MODELS; SUPPORT VECTOR REGRESSIONS; WELL PERFORMANCE;

COMPUTER SOFTWARE SELECTION AND EVALUATION; CONVERGENCE OF NUMERICAL METHODS; FORECASTING; GENETIC ALGORITHMS; SIMULATED ANNEALING; SOFTWARE DESIGN;

SOFTWARE RELIABILITY;

EID: 80855124147     PISSN: 17518806     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-sen.2010.0073     Document Type: Article

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