Title :
A fuzzy set approach to cost estimation of software projects
Author :
Pedrycz, W. ; Peters, J.F. ; Ramanna, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
The study is concerned with the development of models of software cost estimation using the technology of fuzzy sets. We propose an augmentation of the well-known class of COCOMO cost estimation models by admitting a granular form of the estimates of the variables used there. Granular models of cost estimation are also introduced. The performance of the granular models is illustrated by a series of numerical experiments.
Keywords :
fuzzy logic; pattern clustering; software cost estimation; COCOMO; cost estimation; fuzzy sets; software cost estimation; software projects; Costs; Embedded system; Fuzzy sets; Input variables; Numerical models; Resource management; Software quality; Software systems; Uncertainty; Vehicles;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808195