BS-GEP Algorithm for Prediction of Software Failure Series
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Zhang:2012:Jsoftware,
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author = "Yongqiang Zhang and Jing Xiao and Shengjuan Sun",
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title = "BS-GEP Algorithm for Prediction of Software Failure
Series",
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journal = "Journal of Software",
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year = "2012",
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volume = "7",
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number = "1",
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pages = "243--248",
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month = jan,
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keywords = "genetic algorithms, genetic programming, gene
expression programming, SBSE, BS-GEP, complexity
analysis, convergence analysis, software failure, time
series prediction",
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ISSN = "1796217X",
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URL = "http://www.jsoftware.us/index.php?m=content&c=index&a=show&catid=55&id=1084",
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URL = "http://www.jsoftware.us/vol7/jsw0701-33.pdf",
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broken = "http://ojs.academypublisher.com/index.php/jsw/article/view/5146",
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broken = "http://www.doaj.org/doaj?func=openurl\&genre=article\&issn=1796217X\&date=2012\&volume=7\&issue=1\&spage=243",
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size = "6 pages",
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abstract = "This paper introduces GEP(Gene Expression Programming)
fundamental. Aimed at prediction of software failure
sequence, an improved GEP(GEP based on Block Strategy,
BS-GEP) is presented, in which the population is
divided into several blocks according to the individual
fitness of each generation and the genetic operators
are reset differently in each block to guarantee the
genetic diversity. The algorithm complexity and
convergence of BS-GEP is analysed in the paper.
Furthermore, BS-GEP is applied in the solution of
prediction in software failure sequence. The simulation
results show that the model found by BS-GEP, which is
proved widely used for many other time series, is more
accurate than the one of classic GEP.",
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bibsource = "OAI-PMH server at www.doaj.org",
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language = "eng",
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oai = "oai:doaj-articles:cce5bee368f9a6cd7fa22ef0f44dc45b",
- }
Genetic Programming entries for
Yongqiang Zhang
Jing Xiao
Shengjuan Sun
Citations