Genetic Improvement of Software .com

Welcome to the community website on Genetic Improvement (GI).

GI focuses on the repair and optimisation of software using computational search and evolutionary processes, often outperforming human developers at these tasks. (read more)
We as a community run a workshop and frequent events year-round, feel free to meet us to discuss the future of software engineering!

News

• The 14th International Workshop on Genetic Improvement took place at ICSE 2025.
• We would like to invite researchers to submit to the special issue on Genetic Improvement in the Automated Software Engineering Journal

Older News

• A tutorial on genetic improvement was given at GECCO 2024 by Sandy Brownlee, Saemundur Haraldsson, John R. Woodward, and Markus Wagner.
• The 13th International Workshop on Genetic Improvement took place at ICSE 2024. Prof. Shin Yoo gave the keynote talk. Recordings available on Youtube. Dr. Aymeric Blot presented the latest version of the Magpie tool, available at https://github.com/bloa/magpie, supporting a variety of algorithms, GI operators, and parameter tuning capabilities.
• The CREST Centre at UCL is inviting attendees for 2 GI-related workshops, on Aug 3rd-4th and Sep 18th-19th. Please register for COW64 and COW65.
• A tutorial on genetic improvement was given at GECCO 2023 by Alexander Brownlee, Saemundur Haraldsson, and John Woodward.
• The 12th International Workshop on Genetic Improvement took place at ICSE 2023. Prof. Myra Cohen and Dr. Sebastian Baltes gave keynote talks.
• The 63rd CREST Open Workshop on Genetic Improvement and Software Specialisation took place at University College London in March 2023.
• The 11th International Workshop on Genetic Improvement took place at GECCO 2022, together with a GI tutorial.
• The 10th International Workshop on Genetic Improvement took place at ICSE 2021.
• There was a GI tutorial at ASE 2020.
• There was a tutorial on Genetic Improvement at PPSN 2020. Slides can be obtained here.
• Version 2 of the Genetic Improvement in No time (Gin) tool has been released. It is available at https://github.com/gintool/gin. It provides the ability to handle multi-class projects, gradle and maven build tools, built-in profiler and sampling utilities, test case generation, and a load of new edit operators.
• Version 2, alpha release, of the PYGGI Python General Framework for Genetic Improvement has been released. It is available at https://github.com/coinse/pyggi/releases. This release now supports XML.