Improved Genetic Programming Model for Software Reliability
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gp-bibliography.bib Revision:1.7954
- @InProceedings{Cheng:2009:ASIA,
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author = "Huifang Cheng and Yongqiang Zhang and Jing Zhao",
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title = "Improved Genetic Programming Model for Software
Reliability",
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booktitle = "International Asia Symposium on Intelligent
Interaction and Affective Computing, ASIA '09",
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year = "2009",
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month = dec,
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pages = "164--167",
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keywords = "genetic algorithms, genetic programming, SBSE, IGP
algorithm, improved genetic programming model, software
failure mechanism, software reliability, software
reliability",
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DOI = "doi:10.1109/ASIA.2009.38",
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abstract = "Many existing software reliability models are based on
some subjective assumptions those could be easily
impractical in reality. Genetic Programming(GP for
short) does not need some subjective assumption due to
the basic characteristic of the data. Also, this method
doesn't require to understand the inherent processes
for failures, but to create models based on the given
data for a {"}true{"} process during the specific
modeling course, which can describe the software
failure mechanisms more effectually and predict for the
next failure times more exactly. This paper adopts
improved GP(IGP for short) algorithm to hunting model,
which can possibly reflect system behaviors, in the
function spaces are compoundly constituted by the
authorized function operators. Meanwhile, we have
proved that IGP can obtain the best solution for
failure behavior's variation rules from the convergence
character of itself. Moreover, this paper makes use of
Orthogonal experimental to adjust the parameters.",
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notes = "Also known as \cite{5376005}",
- }
Genetic Programming entries for
Huifang Cheng
Yongqiang Zhang
Jing Zhao
Citations