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Communication Dans Un Congrès Année : 2022

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

Résumé

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.
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Dates et versions

hal-04215767 , version 1 (22-09-2023)

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Shengjie Zuo, Aymeric Blot, Justyna Petke. Evaluation of genetic improvement tools for improvement of non-functional properties of software. GECCO '22: Genetic and Evolutionary Computation Conference, Feb 2022, Boston, United States. pp.1956-1965, ⟨10.1145/3520304.3534004⟩. ⟨hal-04215767⟩
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