Improved Genetic Programming Model for Software Reliability

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Cheng:2009:ASIA,

• author = "Huifang Cheng and Yongqiang Zhang and Jing Zhao",
• title = "Improved Genetic Programming Model for Software Reliability",
• booktitle = "International Asia Symposium on Intelligent Interaction and Affective Computing, ASIA '09",
• year = "2009",
• month = dec,
• pages = "164--167",
• keywords = "genetic algorithms, genetic programming, SBSE, IGP algorithm, improved genetic programming model, software failure mechanism, software reliability, software reliability",
• DOI = "doi:10.1109/ASIA.2009.38",
• 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.",
• notes = "Also known as \cite{5376005}",

}

Genetic Programming entries for Huifang Cheng Yongqiang Zhang Jing Zhao

Citations