- author = "Kwaku Yeboah-Antwi and Benoit Baudry",
- title = "Online Genetic Improvement on the java virtual machine with {ECSELR}",
- journal = "Genetic Programming and Evolvable Machines",
- year = "2017",
- volume = "18",
- number = "1",
- month = mar,
- pages = "83--109",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, JVM, Evolutionary computation, Artificial intelligence, Software engineering",
- ISSN = "1389-2576",
-
URL = "
https://hal.inria.fr/hal-01382964",
- hal_id = "hal-01382964",
-
DOI = "
doi:10.1007/s10710-016-9278-4",
- size = "27 pages",
- abstract = "Online Genetic Improvement embeds the ability to evolve and adapt inside a target software system enabling it to improve at runtime without any external dependencies or human intervention. We recently developed a general purpose tool enabling Online Genetic Improvement in software systems running on the java virtual machine. This tool, dubbed ECSELR, is embedded inside extant software systems at runtime, enabling such systems to self-improve and adapt autonomously online. We present this tool, describing its architecture and focusing on its design choices and possible uses.",
-
notes = "DASBSE
Featured in SIGEVOlution 9(3) 26 October 2016 http://www.sigevolution.org/issues/SIGEVOlution0903.pdf (sigevolution.org url fixed Jan 2018)
INRIA, Campus de Beaulieu, 263 Avenue General Le Clerc, 35042 Rennes, France",
