Langdon, W;
(2016)
The Genetic Improvement Fitness Landscape.
(UCL Department of Computer Science Research Notes
RN/16/04
).
UCL Department of Computer Science: London, UK.
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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.
| Type: | Report |
|---|---|
| Title: | The Genetic Improvement Fitness Landscape |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.cs.ucl.ac.uk/research/research_notes/ |
| Language: | English |
| Keywords: | genetic algorithms, genetic programming, genetic improvement, SBSE, theory, software engineering, search |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1500876 |
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