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Dragonfly: a tool for simulating self-adaptive drone behaviours

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Show simple item record Maia, Paulo Henrique Vieira, Lucas Chagas, Matheus Yu, Yijun Zisman, Andrea Nuseibeh, Bashar 2020-01-22T12:14:17Z 2020-01-22T12:14:17Z 2019
dc.description peer-reviewed en_US
dc.description.abstract Drone simulators can provide an abstraction of different applications of drones and facilitate reasoning about distinct situations, in order to evaluate the effectiveness of these applications. In this paper we describe Dragonfly, a simulator of the behaviours of individual and collection of drones in various environments, involving random contextual variables and different environmental settings. Dragonfly supports the use of several drones in applications and evaluates the satisfaction of requirements under normal and exceptional situations. It simulates adaptive behaviours of drones due to exceptional situations. The adaption of drones is based on the use of wrappers implemented using aspect-oriented programming. en_US
dc.language.iso eng en_US
dc.publisher Association for Computing Machinery en_US
dc.relation 13/RC/2094 en_US
dc.relation.ispartofseries SEAMS '19: Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;pp. 107-113
dc.subject drone en_US
dc.subject adaptation en_US
dc.subject aspects en_US
dc.title Dragonfly: a tool for simulating self-adaptive drone behaviours en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1109/SEAMS.2019.00022
dc.contributor.sponsor SFI en_US
dc.contributor.sponsor EPSRC en_US
dc.contributor.sponsor CAPES Foundation, Ministry of Education of Brazil en_US
dc.relation.projectid 13/RC/2094 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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