One small step for a man
One Giant leap for the mankind

There is no wealth like Knowledge
                            No Poverty like Ignorance
Journal of Emerging Trends in Computing and Information Sciences Logo

Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Fuzzy Logic for Enhancing the Sensitivity of COCOMO Cost Model

Full Text Pdf Pdf
Author Abeer Hamdy
ISSN 2079-8407
On Pages 1292-1297
Volume No. 3
Issue No. 9
Issue Date October 01, 2012
Publishing Date October 01, 2012
Keywords Fuzzy logic, software cost, COCOMO.


Abstract

The accuracy of algorithmic models for software cost prediction is limited due to their inability to handle imprecision and uncertainties associated with the software project attributes like size, programmer experience, etc. This paper enhances the accuracy and sensitivity of one of a widely used models COCOMO81 intermediate by incorporating a fuzzy component into the model. The fuzzy component deals with the vagueness and imprecision of the model’s cost drivers. MATLAB fuzzy toolbox was used in implementing the proposed fuzzy model. Artificial datasets was derived from COCOMONASA2 dataset to evaluate the proposed fuzzy model. The results showed that the sensitivity of the proposed fuzzy model is superior to COCOMO81 intermediate. It’s worth mentioning that the idea of the paper isn’t restricted to COCOMO81 intermediate; it could be applied to other algorithmic models.  

Back

Seperator
    Journal of Computing | Call for Papers (CFP) | Journal Blog | Journal of Systems and Software | ARPN Journal of Science and Technology | International Journal of Health and Medical Sciences | International Journal of Economics, Finance and Management     
Copyrights
© 2015 Journal of Computing