# The State and Future of Genetic Improvement

## TL;DR

This paper summarizes discussions from GI-2019 on genetic improvement, covering representations, maintainability, testing, future research directions, and existing tools and benchmarks in the field.

## Contribution

It provides an overview of current challenges, tools, and future research directions in genetic improvement based on expert discussions.

## Key findings

- Identified key challenges in GI representations and maintainability.
- Highlighted the importance of automated testing in GI workflows.
- Outlined future research areas including co-evolution and benchmarking.

## Abstract

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.