Software Effort Estimation for NASA Projects Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{ShetaAfeef2010,

• author = "Alaa F. Sheta and Alaa Al-Afeef",
• title = "Software Effort Estimation for {NASA} Projects Using Genetic Programming",
• journal = "Journal of Intelligent Computing",
• year = "2010",
• volume = "1",
• number = "3",
• pages = "146--156",
• month = sep,
• keywords = "genetic algorithms, genetic programming, SBSE, Software Cost Estimation, Software Engineering, NASA Software",
• ISSN = "0976-9005",
• URL = "http://www.dline.info/jic/v1n3.php",
• URL = "http://www.dline.info/jic/fulltext/v1n3/4.pdf",
• size = "11 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 optimize such a relationship via developing a mathematical relationship between model variables is urgently needed. In this paper, we explore the use of Genetic Programming (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 GP based model was tested and compared to known models in the literature. The developed GP model was able to provide valuable estimation capabilities compared to other models.",
• notes = "https://www.dline.info/jic/eb.php",

}

Genetic Programming entries for Alaa Sheta Alaa Al-Afeef

Citations