Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/ictai/CostaPV06,
  title =        "Using Boosting Techniques to Improve Software
                 Reliability Models Based on Genetic Programming",
  author =       "Eduardo Oliveira Costa and Aurora Pozo and 
                 Silvia Regina Vergilio",
  year =         "2006",
  booktitle =    "18th IEEE International Conference on Tools with
                 Artificial Intelligence (ICTAI'06)",
  pages =        "643--650",
  address =      "Washington, D.C, USA",
  month =        nov # " 13-15",
  publisher =    "IEEE Computer Society",
  bibdate =      "2007-01-04",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ictai/ictai2006.html#CostaPV06",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICTAI.2006.117",
  abstract =     "Software reliability models are used to estimate the
                 probability of a software fails along the time. They
                 are fundamental to plan test activities and to ensure
                 the quality of the software being developed. Two kind
                 of models are generally used: time or test coverage
                 based models. In our previous work, we successfully
                 explored Genetic Programming (GP) to derive reliability
                 models. However, nowadays Boosting techniques (BT) have
                 been successfully applied with other Machine Learning
                 techniques, including GP. BT merge several hypotheses
                 of the training set to get better results. With the
                 goal of improving the GP software reliability models,
                 this work explores the combination GP and BT. The
                 results show advantages in the use of the proposed
                 approach.",
}

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

Citations