Refactoring in Automatically Generated Programs

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Fernando E. B. Otero and Colin G. Johnson and 
                 Alex A. Freitas and Simon J. Thompson",
  title =        "Refactoring in Automatically Generated Programs",
  booktitle =    "Proceedings of the 2nd International Symposium on
                 Search Based Software Engineering (SSBSE '10)",
  year =         "2010",
  editor =       "Massimiliano {Di Penta} and Simon Poulding and 
                 Lionel Briand and John Clark",
  address =      "Benevento, Italy",
  month =        "7-9 " # sep,
  note =         "Fast abstract",
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 refactoring, automated design improvement :poster?",
  URL =          "",
  size =         "2 pages",
  abstract =     "Refactoring aims at improving the design of existing
                 code by introducing structural modifications without
                 changing its behaviour. It is used to adjust a system's
                 design in order to facilitate its maintenance and
                 extendability. Since deciding which refactoring to
                 apply and where it should be applied is not a
                 straightforward decision, search-based approaches to
                 automating the task of software refactoring have been
                 proposed recently. So far, these approaches have been
                 applied only to human-written code. Despite many years
                 of computer programming experience, certain problems
                 are very difficult for programmers to solve. To address
                 this, researches have developed methods where computers
                 automatically create program code from a description of
                 the problem to be solved. One of the most popular forms
                 of automated program creation is called Genetic
                 Programming (GP). The aim of this work is to make GP
                 more effective by introducing an automated refactoring
                 step, based on the refactoring work in the software
                 engineering community. We believe that the refactoring
                 step will enhance the ability of GP to produce code
                 that solves more complex problems, as well as result in
                 evolved code that is both simpler and more
                 idiomatically structured than that produced by
                 traditional GP methods.",
  notes =        "code duplication to be replaced by encapsulation into
                 function called multiple times. (Cf
                 \cite{langdon:2005:CS} \cite{langdon:2005:NC}).
                 function extraction/unfold refactoring. cf. ADF, Rosca,

                 Fast abstracts not in proceedings?

Genetic Programming entries for Fernando Esteban Barril Otero Colin G Johnson Alex Alves Freitas Simon J Thompson