Embedding Adaptivity in Software Systems using the ECSELR framework

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Yeboah-Antwi:2015:gi,

• author = "Kwaku Yeboah-Antwi and Benoit Baudry",
• title = "Embedding Adaptivity in Software Systems using the {ECSELR} framework",
• booktitle = "Genetic Improvement 2015 Workshop",
• year = "2015",
• editor = "William B. Langdon and Justyna Petke and David R. White",
• pages = "839--844",
• address = "Madrid",
• publisher_address = "New York, NY, USA",
• month = "11-15 " # jul,
• organisation = "SIGEvo",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement",
• isbn13 = "978-1-4503-3488-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gi2015/embedding_adaptivity_in_software_systems_using-the_eselr_framework.pdf",
• URL = "http://diversify-project.eu/papers/Yeboah15.pdf",
• URL = "http://doi.acm.org/10.1145/2739482.2768425",
• DOI = "doi:10.1145/2739482.2768425",
• size = "8 pages",
• abstract = "ECSELR is an ecologically-inspired approach to software evolution that enables environmentally driven evolution at runtime in extant software systems without relying on any offline components or management. ECSELR embeds adaptation and evolution inside the target software system enabling the system to transform itself via Darwinian evolutionary mechanisms and adapt in a self contained manner. This allows the software system to benefit autonomously from the useful emergent byproducts of evolution like adaptivity and bio-diversity, avoiding the problems involved in engineering and maintaining such properties. ECSELR enables software systems to address changing environments at run time, ensuring benefits like mitigation of attacks and memory-optimisation among others while avoiding time consuming and costly maintenance and downtime. ECSELR differs from existing work in that, 1) adaptation is embedded in the target system, 2) evolution and adaptation happens online (i.e. in-situ at runtime) and 3) ECSELR is able to embed adaptation inside systems that have already been started and are in the midst of execution. We demonstrate the use of ECSELR and present results on using the ECSELR framework to slim a software system.",
• notes = "Java byte code",

}

Genetic Programming entries for Kwaku Yeboah-Antwi Benoit Baudry

Citations