Zuo, Shengjie;
Blot, Aymeric;
Petke, Justyna;
(2022)
Evaluation of genetic improvement tools for improvement of non-functional properties of software.
In:
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionProceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1956-1965).
Association for Computing Machinery (ACM): New York, NY, USA.
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Abstract
Genetic improvement (GI) improves both functional properties of software, such as bug repair, and non-functional properties, such as execution time, energy consumption, or source code size. There are studies summarising and comparing GI tools for improving functional properties of software; however there is no such study for improvement of its non-functional properties using GI. Therefore, this research aims to survey and report on the existing GI tools for improvement of non-functional properties of software. We conducted a literature review of available GI tools, and ran multiple experiments on the found open-source tools to examine their usability. We applied a cross-testing strategy to check whether the available tools can work on different programs. Overall, we found 63 GI papers that use a GI tool to improve nonfunctional properties of software, within which 31 are accompanied with open-source code. We were able to successfully run eight GI tools, and found that ultimately only two ---Gin and PyGGI--- can be readily applied to new general software.
| Type: | Proceedings paper |
|---|---|
| Title: | Evaluation of genetic improvement tools for improvement of non-functional properties of software |
| Event: | GECCO '22: Genetic and Evolutionary Computation Conference |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3520304.3534004 |
| Publisher version: | https://doi.org/10.1145/3520304.3534004 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Genetic improvement, survey, tooling, non-functional properties |
| UCL classification: | 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 UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10152816 |
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