Journal
Automated Software Engineering
Automated Software Engineering explores the automation of complex software engineering tasks and encourages the development of innovative tools to support these processes.
Genetic Improvement is the application of evolutionary and search-based optimisation methods to the improvement of existing software. It has been used to improve both software functional properties, such as fixing bug or performing automated code transplantation, and software non-functional properties, such as minimising execution time, memory usage, or energy consumption.
We invite submissions that discuss recent developments in all areas of research on, and applications of, Genetic Improvement. Topics of interest include both the theory and practice of Genetic Improvement. Applications of GI include, but are not limited to:
- Improve runtime efficiency
- Decrease memory consumption
- Decrease energy consumption
- Transplant new functionality
- Specialise software
- Generate multiple versions of software
- Improve low level or binary code
- GI techniques in industrial settings
- Use of AI/large language models in combination with GI
- Use of AI/large language models to improve GI or vice versa
Submit your manuscript to this collection through the participating journal.
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Oliver Krauss
PhD, University of Applied Sciences Upper Austria, Austria -
Vesna Nowack
Vesna Nowack, Imperial College London, UK