A Genetic Programming Approach for Software Reliability Modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Costa:2010:ieeeTR,
  author =       "Eduardo Oliveira Costa and 
                 Aurora Trinidad Ramirez Pozo and Silvia Regina Vergilio",
  title =        "A Genetic Programming Approach for Software
                 Reliability Modeling",
  journal =      "IEEE Transactions on Reliability",
  year =         "2010",
  keywords =     "genetic algorithms, genetic programming, Fault
                 prediction, machine learning techniques, software
                 reliability models, SBSE",
  abstract =     "Genetic Programming (GP) models adapt better to the
                 reliability curve when compared with other traditional,
                 and non-parametric models. In a previous work, we
                 conducted experiments with models based on time, and on
                 coverage. We introduced an approach, named Genetic
                 Programming and Boosting (GPB), that uses boosting
                 techniques to improve the performance of GP. This
                 approach presented better results than classical GP,
                 but required ten times the number of executions.
                 Therefore, we introduce in this paper a new GP based
                 approach, named $(mu+lambda)$ GP. To evaluate this new
                 approach, we repeated the same experiments conducted
                 before. The results obtained show that the
                 $(mu+lambda)$ GP approach presents the same cost of
                 classical GP, and that there is no significant
                 difference in the performance when compared with the
                 GPB approach. Hence, it is an excellent, less expensive
                 technique to model software reliability.",
  DOI =          "doi:10.1109/TR.2010.2040759",
  ISSN =         "0018-9529",
  notes =        "Also known as \cite{5409534}",
}

Genetic Programming entries for Eduardo Oliveira Costa Aurora Trinidad Ramirez Pozo Silvia Regina Vergilio

Citations