A GP effort estimation model utilizing line of code and methodology for NASA software projects

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Sheta:2010:ISDA,

• author = "Alaa F. Sheta and Alaa Al-Afeef",
• title = "A {GP} effort estimation model utilizing line of code and methodology for {NASA} software projects",
• booktitle = "10th International Conference on Intelligent Systems Design and Applications (ISDA), 2010",
• year = "2010",
• pages = "290--295",
• email = "alaa.afeef@gmail.com",
• keywords = "genetic algorithms, genetic programming, SBSE, GP effort estimation model, NASA software projects, line-of-code, software cost estimation model, project management, software cost estimation, software development management",
• isbn13 = "978-1-4244-8134-7",
• URL = "http://sites.google.com/site/alaaalfeef/home/7.pdf",
• DOI = "doi:10.1109/ISDA.2010.5687251",
• size = "6 pages",
• abstract = "There is still an urgent need of finding a mathematical model which can provide an accurate relationship between the software project effort/cost and the cost drivers. A powerful algorithm which can optimise such a relationship via developing a mathematical relationship between model variables is urgently needed. In this paper, we explore the use of GP to develop a software cost estimation model using the effect of both the developed line of code and the used methodology during the development. An application of estimating the effort for some NASA software projects is introduced. The performance of the developed Genetic Programming (GP) based model was tested and compared to known models in the literature. The developed GP model was able to provide good estimation capabilities compared to other models.",
• notes = "Also known as \cite{5687251}",

}

Genetic Programming entries for Alaa Sheta Alaa Al-Afeef

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