The growing request for high-quality applications for wireless sensor network (wsn) demands model-driven approaches that facilitate the design and the early validation of extra-functional properties by combining design and analysis models. for this purpose, uml and several analysis-specific languages can be chosen and weaved through translational approaches. however, the complexity brought by the underlying technological spaces may hinder the adoption of uml-based approaches in the wsn domain. the recently introduced foundational uml (fuml) standard provides a formal semantics to a strict uml subset, enabling the execution of uml models. Leveraging fUML, we realize the Agilla Modeling Framework, an executable fUML model library, to conveniently design agent-based software applications for WSN and analyze their performance through the execution of the corresponding fUML model. A running case study is provided to show our framework at work.

fUML-Driven Design and Performance Analysis of Software Agents for Wireless Sensor Network.

DI MARCO, ANTINISCA;
2014-01-01

Abstract

The growing request for high-quality applications for wireless sensor network (wsn) demands model-driven approaches that facilitate the design and the early validation of extra-functional properties by combining design and analysis models. for this purpose, uml and several analysis-specific languages can be chosen and weaved through translational approaches. however, the complexity brought by the underlying technological spaces may hinder the adoption of uml-based approaches in the wsn domain. the recently introduced foundational uml (fuml) standard provides a formal semantics to a strict uml subset, enabling the execution of uml models. Leveraging fUML, we realize the Agilla Modeling Framework, an executable fUML model library, to conveniently design agent-based software applications for WSN and analyze their performance through the execution of the corresponding fUML model. A running case study is provided to show our framework at work.
2014
978-3-319-09969-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/42119
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