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Sensors integration in feature-based context-oriented programming

Lambert, Béatrice
(2024)

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Details

Supervisors
Legay, Axel ; Mens, Kim
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] en sciences informatiques, à finalité spécialisée
Abstract
Mobile and ubiquitous have expanded the range of context-aware applications. while the Feature-based context-oriented programming (FBCOP) paradigm provides support to develop such applications, it is not able to perceive the application surrounding contexts. This master thesis aims to extend the RubyCOP framework that implements the FBCOP paradigm, to propose a sensor layer that identifies and activates the application surrounding contexts. We used ontology modeling to design this sensor layer in order to allow the developer to provide the logic which is essential for the application context identification. The sensor layer we propose also includes a validation process that avoids the need for unreasonable context switching. The proposed sensor layer implementation has been validated with real sensors as part of a Smart Home application.