Software Effort Estimation for NASA Projects Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{ShetaAfeef2010,
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author = "Alaa F. Sheta and Alaa Al-Afeef",
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title = "Software Effort Estimation for {NASA} Projects Using
Genetic Programming",
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journal = "Journal of Intelligent Computing",
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year = "2010",
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volume = "1",
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number = "3",
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pages = "146--156",
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month = sep,
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keywords = "genetic algorithms, genetic programming, SBSE,
Software Cost Estimation, Software Engineering, NASA
Software",
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ISSN = "0976-9005",
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URL = "http://www.dline.info/jic/v1n3.php",
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URL = "http://www.dline.info/jic/fulltext/v1n3/4.pdf",
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size = "11 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
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.",
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notes = "https://www.dline.info/jic/eb.php",
- }
Genetic Programming entries for
Alaa Sheta
Alaa Al-Afeef
Citations