2023
DOI: 10.21203/rs.3.rs-3220590/v1
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Comparing Apples and Oranges? The Influence of Java Profiler Choice on the Identification of Hot Methods for Genetic Improvement

Myles Watkinson,
Alexander Edward Ian Brownlee

Abstract: Genetic improvement (GI) of software applies search-based optimisation to existing software and many existing pieces of work show its successful application in a variety of contexts. GI generates variants of the original program, testing each for functionality and properties such as run time or memory footprint. A common approach to increase the efficiency of the GI search is to profile the target application to identify hot methods that the code variations are focused on. More widely, of course, profiling is … Show more

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