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International Journal of Energy, Information and Communications

Volume 8, No. 4, 2017, pp 61-76
http://dx.doi.org/10.21742/ijeic.2017.8.4.06

Abstract



Software Maintenance Project Staffing Using Genetic Algorithms



    Zohair Chentouf
    College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Kingdom of Saudi Arabia

    Abstract

    The research question in the current article was about posing the problem of software maintenance project task assignment in a more complete formulation, compared with the models reported in the literature so far. For this aim, the proposed model comprises decision factors that were overlooked by the literature. A second contribution fold of this research was to implement the model using genetic algorithms (GA). Then, a validation test of the GA-based model was conducted to compare its performance with human managers’ one. Results obtained with the prototyped GA-based model outperformed the managers’ ones.


 

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