Open arennax opened 6 years ago
Experimental DE Methods (2):
COCOMO-STYLE Datasets pre-processing:
COCOMO-3C Range Reduction (From 6 columns to 3 columns): note: vlow and vhigh values are used, mean is another option.
Effort Estimate Function for COCOMO-II:
"a" and "b" are used for DE tuning (DE/COCOMO-II).
Default COCOMO-II implementation:
Experiment Results: (Performance Metric: SA, Repeat Times: 20, 3-Way Cross Validation)
COCOMO-STYLE Dataset vs Other Effort Dataset:
Using these 2 applied new DE methods to former experiments (submitted to ASE'18): note: all slower methods are ruled out (CART-NSGA2/ABEN*/CoGEE) (Performance Metric: SA, Repeat Times: 20, 3-Way Cross Validation)
Experimental DE Methods (2):
COCOMO-STYLE Datasets pre-processing:
COCOMO-3C Range Reduction (From 6 columns to 3 columns): note: vlow and vhigh values are used, mean is another option.
Effort Estimate Function for COCOMO-II:
"a" and "b" are used for DE tuning (DE/COCOMO-II).
Default COCOMO-II implementation:
Experiment Results: (Performance Metric: SA, Repeat Times: 20, 3-Way Cross Validation)
COCOMO-STYLE Dataset vs Other Effort Dataset:
Using these 2 applied new DE methods to former experiments (submitted to ASE'18): note: all slower methods are ruled out (CART-NSGA2/ABEN*/CoGEE) (Performance Metric: SA, Repeat Times: 20, 3-Way Cross Validation)