NESEJun 27, 2019

The State and Future of Genetic Improvement

arXiv:1907.03773v14 citations
Originality Synthesis-oriented
AI Analysis

It provides an overview of current challenges and future prospects in GI for software engineering researchers, but is incremental as it reports on a workshop discussion.

The paper summarizes discussions from a workshop on Genetic Improvement (GI), covering topics like GI representations, code maintainability, automated testing, and future research directions such as co-evolution.

We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on Software Engineering on Tuesday 28th May 2019. Topics included GI representations, the maintainability of evolved code, automated software testing, future areas of GI research, such as co-evolution, and existing GI tools and benchmarks.

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