Toward Developer-like Automated Program Repair: Modification Comparisons between GenProg and Developers

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Hiroki Nakajima and Yoshiki Higo and 
                 Haruki Yokoyama and Shinji Kusumoto",
  booktitle =    "2016 23rd Asia-Pacific Software Engineering Conference
  title =        "Toward Developer-like Automated Program Repair:
                 Modification Comparisons between GenProg and
  year =         "2016",
  pages =        "241--248",
  abstract =     "Automated program repair is a way to reduce costs on
                 program debugging to a large extent. Repair techniques
                 using genetic programming have been attracting much
                 attention. They were applied to actual software systems
                 and they were able to fix several dozen of actual
                 faults. However, programs generated by such techniques
                 often include some source code changes not related to
                 fixing a given fault even if they pass all given test
                 cases. Furthermore, some researchers found that such
                 techniques occasionally induce new faults which are not
                 covered by existing test cases. The reason why those
                 problems arise is that such techniques consider only
                 given test cases. On the other hand, developers
                 consider program behaviours not covered by test cases.
                 Thus, those problems arise less frequently in programs
                 modified by developers. Consequently, the authors
                 suppose that if we make automated program modifications
                 close to developers' ones, we may be able to relieve
                 those problems. At this moment, there is no research
                 study investigating differences between automated
                 modifications and developers' ones. In this paper, we
                 compare GenProg's modifications with developers' ones
                 for the same faults. As a result, we found that
                 developers tend to(1) change more different functions,
                 (2) change control flows in source code, and (3)
                 add/delete more code lines.",
  keywords =     "genetic algorithms, genetic programming, Bifurcation,
                 Debugging, Fault diagnosis, Maintenance engineering,
                 Open source software, Automated program repair, Source
                 code analysis",
  DOI =          "doi:10.1109/APSEC.2016.042",
  ISSN =         "1530-1362",
  month =        dec,
  notes =        "Also known as \cite{7890594}",

Genetic Programming entries for Hiroki Nakajima Yoshiki Higo Haruki Yokoyama Shinji Kusumoto