Presented by :
Estevan Gomez, Universidad de las Fuerzas Armadas - ESPE
Estevan R. Gómez-Torres, PhD (c) Universidad Nacional de la Plata Argentina, Master in Systems Management and Systems Engineering from Universidad de las Fuerzas Armadas 'ESPE' in Quito-Ecuador. His field of work and research include lines such as: Big Data, Internet of Things, Project Management, Development of mobile applications in contexts, Artificial Intelligence, Data Analytics, Machine Learning, Smart Cities.
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In recent years, technological growth has been exponential in relation to mobile devices (such as embedded sensors as GPS or accelerometer) that has allowed developing context-aware mobile applications for the market. This growth generates a new challenge about how to support the creation of this kind of application in order to adapt them to the user’s current demand. There are at present several approaches that could be used to create context-aware mobile applications, but these approaches are not designed to support variability in the kind of generated applications.Our aim is to propose a building tool that allows generating a wide variety of applications. Our tool has been designed from scratch considering a taxonomy of variability concepts (relevance, combination, precision and accuracy’s margins, configuration type, and execution type) which help to identify the potential variability points to obtain more flexible building approaches.