Dragonfly: a tool for simulating self-adaptive drone behaviours
| Autor: | Matheus Chagas, Lucas Vieira, Andrea Zisman, Paulo Henrique M. Maia, Bashar Nuseibeh, Yijun Yu |
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| Přispěvatelé: | SFI, EPSRC, CAPES Foundation, Ministry of Education of Brazil |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020207 software engineering Self adaptive 02 engineering and technology adaptation drone Drone Human–computer interaction Contextual variable 0202 electrical engineering electronic engineering information engineering aspects 020201 artificial intelligence & image processing Adaptation (computer science) Abstraction (linguistics) |
| Zdroj: | SEAMS@ICSE |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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