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A fuzzy set approach to cost estimation of software projects

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

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

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