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Sensor detection and simulation in feature-based context-oriented programming

Iglesias Garcia, Jorge
(2023)

Files

Iglesias_20282000_2023.pdf
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Details

Supervisors
Mens, Kim
Faculty
Ecole polytechnique de Louvain
Degree label
Master [60] en sciences informatiques
Abstract
This master's thesis is situated in the research field of Feature-Based Context-Oriented Programming. This approach has been developed and refined over many decades of research by Professor Kim Mens and his RELEASED team at the Catholic University of Louvain. As a result, the RubyCOP framework was created, which continues to be developed and refined by the team, mainly by Dr. Benoît Duhoux. The main objective of this thesis work is the use of sensors for context activation and deactivation within the RubyCOP framework, as well as its application in the field of the Internet of Things (IoT). The primary goal is to develop a sensor component (layer) responsible for collecting environmental data and capable of transmitting it to the RubyCOP framework. This data is utilized to activate and deactivate defined contexts within the application, and to develop a user interface that displays in real time the active contexts and features. To achieve this objective, the development of a prototype smart home application is proposed as a case study, addressing the field of IoT and context-aware systems.