Investigating the use of Support Vector Regression for web effort estimation

Empirical Software Engineering

Volumn 16, Issue 2, 2011, Pages 211-243

  Corazza, Anna ^a   Di Martino, Sergio ^a   Ferrucci, Filomena ^b   Gravino, Carmine ^b   Mendes, Emilia ^c  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Effort estimation; Support Vector Regression

Indexed keywords

BENCHMARKING TECHNIQUES; BEST VALUE; CROSS VALIDATION; DATA CONFIGURATION; DATA MODELING; DATA SETS; DEPENDENT VARIABLES; EFFORT ESTIMATION; KERNEL FUNCTION; LEAVE-ONE-OUT; MACHINE LEARNING ALGORITHMS; NONLINEAR PROBLEMS; POLYNOMIAL KERNELS; PREDICTION ACCURACY; RADIAL BASIS FUNCTIONS; RBF KERNELS; STEPWISE REGRESSION; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; TEST SETS;

CASE BASED REASONING; FORECASTING; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; VECTORS;

ESTIMATION;

EID: 79953191774     PISSN: 13823256     EISSN: 15737616     Source Type: Journal    
DOI: 10.1007/s10664-010-9138-4     Document Type: Article

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