Genetic improvement uses artificial intelligence to automatically improve software with
respect to non-functional properties (AI for SE). In this paper, we propose the use of existing …

Genetic Improvement (GI) uses automated search to improve existing software. It can be
used to improve runtime, energy consumption, fix bugs, and any other software property …

Genetic improvement (GI) uses automated search to improve existing software. It has been
successfully used to optimize various program properties, such as runtime or energy …

Genetic improvement (GI) has been successfully used to optimise non-functional properties
of software, such as execution time, by automatically manipulating program's source code …

Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

Regression test selection (RTS) aims to reduce regression testing time by only re-running
the tests affected by code changes. Prior research on RTS can be broadly split into dy namic …

Genetic improvement (GI) improves both functional properties of software, such as bug
repair, and non-functional properties, such as execution time, energy consumption, or …

We document the program and the immediate outcomes of Dagstuhl Seminar 18052
“Genetic Improvement of Software”. The seminar brought together researchers in Genetic …

Genetic improvement (GI) is a young field of research on the cusp of transforming software
development. GI uses search to improve existing software. Researchers have already …

Genetic Improvement (GI) focuses on the development of evolutionary methods to automate
software engineering tasks, such as performance improvement or software bugs removal …