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Publication Detail
The Genetic Improvement Fitness Landscape
  • Publication Type:
    Report
  • Authors:
    Langdon W
  • publication date:
    10/06/2016
  • Report number:
    RN/16/04
  • Keywords:
    genetic algorithms, genetic programming, genetic improvement, SBSE, theory, software engineering, search
  • Addresses:
    University College London
    computer science
    London
    United Kingdom
Abstract
Trying all simple changes (first order mutations) to executed source code shows software engineering artefacts are more robust than is often assumed. Of those that compile, up to 89percent run without error. Indeed a few non equivalent mutants are improvements.
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