DocumentCode
3358131
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
Volume
2
fYear
1999
fDate
9-12 May 1999
Firstpage
1068
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location
Edmonton, Alberta, Canada
ISSN
0840-7789
Print_ISBN
0-7803-5579-2
Type
conf
DOI
10.1109/CCECE.1999.808195
Filename
808195
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