Genetic Improvement of Data for Maths Functions

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. CCS CONCEPTS• Software and its engineering → Search-based software engineering; Software evolution; Extra-functional properties; • General and reference → Surveys and overviews.

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Genetic Improvement of Data for Maths Functions

Cited by 4 publications

References 56 publications

Genetic Improvement of Last Level Cache

Genetic Improvement of Last Level Cache

Jaws 30

Evaluation of genetic improvement tools for improvement of non-functional properties of software

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