How effective is Tabu Search to configure Support Vector Regression for effort estimation?

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages

  Corazza, A ^a   Di Martino Martino, S ^a   Ferrucci, F ^b   Gravino, C ^b   Sarro, F ^b   Mendes, E ^c  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Development effort estimation; Empirical studies; Support Vector machines; Support Vector Regression; Tabu Search

Indexed keywords

CHOICE OF PARAMETERS; DATA SETS; EFFORT ESTIMATION; EMPIRICAL STUDIES; GENERAL GUIDELINES; GLOBAL OPTIMUM; META-HEURISTIC APPROACH; METAHEURISTIC; OPTIMIZATION PROBLEMS; OPTIMIZATION TECHNIQUES; PREDICTION ACCURACY; RBF KERNELS; STEPWISE REGRESSION; SUPPORT VECTOR; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS;

BAYESIAN NETWORKS; CASE BASED REASONING; ESTIMATION; HEURISTIC METHODS; INFERENCE ENGINES; KNOWLEDGE BASED SYSTEMS; MODELS; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS; SOFTWARE ENGINEERING; SUPPORT VECTOR MACHINES; VECTORS;

TABU SEARCH;

EID: 78649803942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1868328.1868335     Document Type: Conference Paper

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