By Topic

A fuzzy set approach to cost estimation of software projects

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
W. Pedrycz ; Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada ; J. F. Peters ; S. Ramanna

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.

Published in:

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on  (Volume:2 )

Date of Conference:

9-12 May 1999