A Capable Crossover Technique on Automatic Program Repair

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@InProceedings{Kou:2016:IWESEP,
  author =       "Ryotaro Kou and Yoshiki Higo and Shinji Kusumoto",
  booktitle =    "2016 7th International Workshop on Empirical Software
                 Engineering in Practice (IWESEP)",
  title =        "A Capable Crossover Technique on Automatic Program
                 Repair",
  year =         "2016",
  pages =        "45--50",
  abstract =     "In software development, debugging is indispensable to
                 guarantee the reliability. However, debugging is
                 becoming more difficult because software is becoming
                 larger and more complex. Thus, techniques for
                 supporting debugging, especially automatic program
                 repair techniques based on genetic programming
                 distinguish themselves due to their capability. Genetic
                 programming produces many modified programs by three
                 operations: selection, mutation, and crossover. In this
                 research, we focus on crossover that can bring a large
                 modification at one operation, and we are conducting
                 research on capable crossover by selecting several
                 modified programs not randomly but using the guidance
                 indicating their properties. In this paper, we propose
                 a new crossover technique based on comparing modified
                 programs' properties.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/IWESEP.2016.15",
  month =        mar,
  notes =        "Also known as \cite{7464552}",
}

Genetic Programming entries for Ryotaro Kou Yoshiki Higo Shinji Kusumoto

Citations