2016 IEEE Aerospace Conference 2016
DOI: 10.1109/aero.2016.7500897
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Toward requirements engineering of cyber-physical systems: Modeling CubeSat

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Cited by 8 publications
(4 citation statements)
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“…These attempts may suffice to support a component-based approach to development but fails short on the intertwining of the multitude of agents whose interconnection is the very essence of cyber physicality. The importance of cooperating agents, has received attention in research work addressing intelligent systems [26]. However, this collaboration is considered at a physical level and these approaches are mostly concerned with disruption at the operational layer [27,28].…”
Section: Discussionmentioning
confidence: 99%
“…These attempts may suffice to support a component-based approach to development but fails short on the intertwining of the multitude of agents whose interconnection is the very essence of cyber physicality. The importance of cooperating agents, has received attention in research work addressing intelligent systems [26]. However, this collaboration is considered at a physical level and these approaches are mostly concerned with disruption at the operational layer [27,28].…”
Section: Discussionmentioning
confidence: 99%
“…The work presented in this paper is the continuation of our previous work [3] S. Pokharel, H. Reza Journal of Software Engineering and Applications [15] [16] which talks about the development of a requirement engineering tool and captures the requirements of a system. The key contribution of this paper is to implement the traceability between the requirements that were introduced in our previous work.…”
Section: Requirement Evaluation and Negotiation Deal With Making Educmentioning
confidence: 92%
“…We were also able to find some fragmented evidence on requirements elicitation approaches for cyber-physical systems. Reza et al [25] generated a set of quality attribute scenarios using pre-defined templates to document key nonfunctional requirements of a small spacecraft (CubeSat). The templates had the following fields: source, stimulus, environment, artifact, response, and response measure.…”
Section: Related Work White and Edwardsmentioning
confidence: 99%