ASTOR: Evolutionary Automatic Software Repair for Java

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  type =         "Technical Report",
  institution =  "Inria",
  hal_id =       "hal-01075976",
  hal_version =  "v1",
  author =       "Matias Martinez and Martin Monperrus",
  title =        "{ASTOR:} Evolutionary Automatic Software Repair for
  howpublished = "arXiv:1410.6651",
  year =         "2014",
  month =        "24 " # oct,
  keywords =     "genetic algorithms, genetic programming, SBSE",
  biburl =       "",
  bibsource =    "dblp computer science bibliography,",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "Context: During last years, many automatic software
                 repair approaches have been presented by the software
                 engineering research community. According to the
                 corresponding papers, these approaches are able to
                 repair real defects from open source projects.
                 Problematic: Some previous publications in the
                 automatic repair field do not provide the
                 implementation of theirs approaches. Consequently, it
                 is not possible for the research community to
                 re-execute the original evaluation, to set up new
                 evaluations (for example, to evaluate the performance
                 against new defects) or to compare approaches against
                 each others. Solution: We propose a publicly available
                 automatic software repair tool called Astor. It
                 implements three state-of-the-art automatic software
                 repair approaches in the context of Java programs
                 (including GenProg and a subset of PAR's templates).
                 The source code of Astor is licensed under the GNU
                 General Public Licence (GPL v2).",
  notes =        "p2 'Astor uses genetic programming \cite{koza:book} as
                 main evolutionary paradigm. In the automatic software
                 repair field, previous works
                 \cite{Weimer:2009:ICES},\cite{Arcuri09} have also used
                 genetic programming for searching candidate


                 Technical Report hal-01075976, Inria, 2014",

Genetic Programming entries for Matias Martinez Martin Monperrus