Suitability of Genetic Programming for Software Reliability Growth Modeling
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Afzal08e,
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author = "Wasif Afzal and Richard Torkar",
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title = "Suitability of Genetic Programming for Software
Reliability Growth Modeling",
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booktitle = "The 2008 International Symposium on Computer Science
and its Applications (CSA'08)",
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year = "2008",
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pages = "114--117",
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address = "Hobart, ACT",
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month = "13-15 " # oct,
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming, software
reliability data points, software reliability growth
modeling, SBSE",
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DOI = "doi:10.1109/CSA.2008.13",
-
abstract = "Genetic programming (GP) has been found to be
effective in finding a model that fits the given data
points without making any assumptions about the model
structure. This makes GP a reasonable choice for
software reliability growth modeling. This paper
discusses the suitability of using GP for software
reliability growth modeling and highlights the
mechanisms that enable GP to progressively search for
fitter solutions.",
-
notes = "Also known as \cite{4654071}
",
- }
Genetic Programming entries for
Wasif Afzal
Richard Torkar
Citations