...
机译:
Department of Industrial Engineering, ENSAM, Hassan II University;
Software Project Management Research Team, ENSIAS, Mohammed V University;
Accuracy measures; Random forest; Software effort estimation; Support vector regression feature selection;
机译:Improving effort estimation of software products by augmenting class point approach with regression analysis
机译:Software enhancement effort estimation using correlation-based feature selection and stacking ensemble method
机译:Software enhancement effort estimation using correlation-based feature selection and stacking ensemble method
机译:Towards artificial intelligence based diesel engine performance control under varying operating conditions using support vector regression