Modeling Software Reliability Growth with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "Modeling Software Reliability Growth with Genetic
  author =       "Eduardo Oliveira Costa and Silvia Regina Vergilio and 
                 Aurora Trinidad Ramirez Pozo and 
                 Gustavo A. {de Souza}",
  year =         "2005",
  pages =        "171--180",
  booktitle =    "16th International Symposium on Software Reliability
                 Engineering (ISSRE 2005)",
  address =      "Chicago, IL, USA",
  month =        "8-11 " # nov,
  publisher =    "IEEE Computer Society",
  bibdate =      "2006-01-03",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7695-2482-6",
  DOI =          "doi:10.1109/ISSRE.2005.29",
  abstract =     "Reliability Models are very useful to estimate the
                 probability of the software fail along the time.
                 Several different models have been proposed to estimate
                 the reliability growth, however, none of them has
                 proven to perform well considering different project
                 characteristics. In this work, we explore Genetic
                 Programming (GP) as an alternative approach to derive
                 these models. GP is a powerful machine learning
                 technique based on the idea of genetic algorithms and
                 has been acknowledged as a very suitable technique for
                 regression problems. The main motivation to choose GP
                 for this task is its capability of learning from
                 historical data, discovering an equation with different
                 variables and operators. experiment were conducted to
                 confirm this hypotheses and the results were compared
                 with traditional and Neural Network models.",

Genetic Programming entries for Eduardo Oliveira Costa Silvia Regina Vergilio Aurora Trinidad Ramirez Pozo Gustavo Antonio de Souza Goll