A GP effort estimation model utilizing line of code and methodology for NASA software projects
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- @InProceedings{Sheta:2010:ISDA,
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author = "Alaa F. Sheta and Alaa Al-Afeef",
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title = "A {GP} effort estimation model utilizing line of code
and methodology for {NASA} software projects",
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booktitle = "10th International Conference on Intelligent Systems
Design and Applications (ISDA), 2010",
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year = "2010",
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pages = "290--295",
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email = "alaa.afeef@gmail.com",
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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",
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isbn13 = "978-1-4244-8134-7",
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URL = "http://sites.google.com/site/alaaalfeef/home/7.pdf",
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DOI = "doi:10.1109/ISDA.2010.5687251",
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size = "6 pages",
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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
Citations