Does Genetic Programming Work Well on Automated Program Repair?

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Yuhua Qi and Xiaoguang Mao and Yan Lei and 
                 Ziying Dai and Chengsong Wang",
  title =        "Does Genetic Programming Work Well on Automated
                 Program Repair?",
  booktitle =    "Fifth International Conference on Computational and
                 Information Sciences (ICCIS 2013)",
  year =         "2013",
  pages =        "1875--1878",
  address =      "Shiyang, China",
  month =        "21-23 " # jun,
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 GenProg, software engineering, automated debugging,
                 automated program repair, random search",
  DOI =          "doi:10.1109/ICCIS.2013.490",
  abstract =     "Automated program repair has made some important
                 progress in the recent decade. One well-known repair
                 tool is GneProg, which automates the patch generation
                 process according to the guidance of genetic
                 programming. Although GenProg has successfully fixed
                 many legacy faulty programs, the guidance effectiveness
                 of genetic programming used by GenProg has not been
                 even justified through the comparison with random
                 search algorithm. In this paper we try to make the
                 guidance effectiveness comparison between genetic
                 programming and random search algorithm on program
                 repair. The experimental results show that genetic
                 programming does not perform better than random search
                 algorithm on guiding the patch generation process.",
  notes =        "See also \cite{Qi:2015:APP:2771783.2771791} and ICSE
                 2014 pages 254-265.

                 Also known as \cite{6643409}",

Genetic Programming entries for Yuhua Qi Xiaoguang Mao Yan Lei Ziying Dai Chengsong Wang