- author = "Myles Watkinson and Alexander Brownlee",
- title = "Updating {Gin}’s profiler for current Java",
- booktitle = "12th International Workshop on Genetic Improvement @ICSE 2023",
- year = "2023",
- editor = "Vesna Nowack and Markus Wagner and Gabin An and Aymeric Blot and Justyna Petke",
- address = "Melbourne, Australia",
- month = "20 " # may,
- publisher = "IEEE",
- note = "Accepted",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, JFR, JUnit",
-
URL = "
https://storre.stir.ac.uk/handle/1893/34912",
- size = "8 pages",
-
abstract = "Genetic improvement is a young and growing field. With
much research still to be done, a number of tools to
support the research community have emerged, with Gin
being one such tool targeted at GI for Java.
One core component of Gin is the profiler, which is used to identify hot methods in target applications: methods where the CPU spends most time and so may offer the most fertile sections of code for improvements to run time. Gin profiler is HPROF, which was included with JDKs up to version 8. HPROF is no longer supported and so needs replaced if Gin is to support later versions of Java. Furthermore, little investigation has been made within the GI community comparing different profiling approaches.
With this paper and its associated and accepted pull request, we replace Gin CPU profiler to allow Gin to be applied to current Java code.",
- notes = "GI @ ICSE 2023",
