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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014Vol.4(3): 227-232 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.378

Genetic Fuzzy System for Enhancing Software Estimation Models

Abeer Hamdy

Abstract—Imprecise estimation of software development cost is one of the major factors that contributes in the failure of software projects. Several algorithmic models have been devised for cost estimation; but they lack the ability to handle imprecision and uncertainties associated with the software project attributes. Embedding a fuzzy component in the algorithmic model enables it to deal with the imprecision and uncertainty problem; consequently improves its accuracy. However, the performance of any fuzzy system depends on the settings of its parameters. This paper proposes a genetic fuzzy model for effort estimation. Genetic algorithm is used in tuning the fuzzy sets of the model to optimize the estimation accuracy. MATLAB 2012 was used in implementing the proposed model. The model was evaluated using artificial datasets derived from COCOMONASA2 dataset. The experimental results showed that the accuracy and sensitivity of the proposed model is superior to COCOMO. It’s note worthy to mention that the idea of the paper is not restricted to COCOMO; it could be applied to other algorithmic models.

Index Terms—COCOMO81, genetic algorithms, fuzzy systems, genetic fuzzy, effort estimation.

Abeer Hamdy is with the Electronics Research Institute and British University, Egypt (e-mail: Abeer.hamdy@bue.edu.eg)


Cite: Abeer Hamdy, "Abeer Hamdy," International Journal of Modeling and Optimization vol. 4, no. 3, pp. 227-232, 2014.

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