|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
Attila Kocsis, Zoltan
|Title:||Embedded Dynamic Improvement|
|Citation:||Burles N, Swan J, Bowles E, Brownlee A, Attila Kocsis Z & Veerapen N (2015) Embedded Dynamic Improvement In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. GECCO '15 Genetic and Evolutionary Computation Conference 2015, New York, 11.07.2015-15.07.2015. New York: ACM, pp. 831-832. http://doi.org/10.1145/2739482.2768423; https://doi.org/10.1145/2739482.2768423.|
DAASE: Dynamic Adaptive Automated Software Engineering
|Conference Name:||GECCO '15 Genetic and Evolutionary Computation Conference 2015|
|Conference Dates:||2015-07-11 - 2015-07-15|
|Conference Location:||Madrid, Spain|
|Abstract:||We discuss the useful role that can be played by a subtype of improvement programming, which we term 'Embedded Dynamic Improvement'. In this approach, developer-specified variation points define the scope of improvement. A search framework is embedded at these variation points, facilitating the creation of adaptive software that can respond online to changes in its execution environment.|
|Status:||AM - Accepted Manuscript|
|Rights:||Publisher policy allows this work to be made available in this repository. Published in GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference by ACM. The original publication is available at: http://dl.acm.org/citation.cfm?doid=2739482.2768423|
|embedded-dynamic-improvement.pdf||Fulltext - Accepted Version; : Preprint||171.04 kB||Adobe PDF||View/Open|
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