How Good is Genetic Programming at Predicting Changes and Defects?

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@InProceedings{Marinescu:2014:NCA,
  author =       "Cristina Marinescu",
  title =        "How Good is Genetic Programming at Predicting Changes
                 and Defects?",
  booktitle =    "11th Workshop on Natural Computing and Applications",
  year =         "2014",
  editor =       "Siby Abraham and Catalin Stoean",
  pages =        "544--548",
  address =      "Timisoara, Romania",
  month =        sep # " 22-25",
  keywords =     "genetic algorithms, genetic programming, SBSE, source
                 code, changes, defects, metrics, software repositories,
                 empirical software engineering",
  DOI =          "doi:10.1109/SYNASC.2014.78",
  size =         "5 pages",
  abstract =     "One of the main problems practitioners have to deal
                 with is the identification of change and defect
                 proneness of source code entities (e.g., classes).
                 During the last years a lot of techniques have been
                 employed for predicting change and defect proneness of
                 classes. In this paper we study the capabilities of
                 Genetic Programming for performing the addressed
                 problem by measuring the precision and recall of the
                 obtained predictions.",
  notes =        "http://synasc.ro/2014",
  notes =        "

                 In the framework of SYNASC 2014
                 http://synasc.ro/2014/workshops/nca-2014/ Also known as
                 \cite{7034728}",
}

Genetic Programming entries for Cristina Marinescu

Citations