Modeling NASA swarm-based systems: using agent-oriented software engineering and formal methods

The need to collect new data and perform new science is causing the complexity of NASA missions to continually increase. This complexity needs to be controlled via new technological advancements and balanced with a reduction in mission and operation costs. Planned and hypothesized missions involve s...

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Veröffentlicht in:Software and systems modeling Jg. 10; H. 1; S. 55 - 62
Hauptverfasser: Peña, Joaquin, Rouff, Christopher A., Hinchey, Mike, Ruiz-Cortés, Antonio
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.02.2011
Springer Nature B.V
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ISSN:1619-1366, 1619-1374
Online-Zugang:Volltext
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Zusammenfassung:The need to collect new data and perform new science is causing the complexity of NASA missions to continually increase. This complexity needs to be controlled via new technological advancements and balanced with a reduction in mission and operation costs. Planned and hypothesized missions involve self-management, biological-inspiration based on swarms, and autonomous operation as a means of achieving these goals. We consider a tailored software engineering approach to developing such systems based on agent-oriented software engineering and formal methods. We report on advances in modeling, implementing, and testing NASA swarm-based concept missions.
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ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-009-0135-2