El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / This analysis proposes a decision tree for selecting cross-device communication technologies for iOS and Android mobile devices. This tree accelerates the selection of cross-device technologies by taking into account known use cases of interaction. Five different communication technologies were tested (Real-time Multiplayer, Nearby Messages, PeerJS, iBeacon and Eddystone) by means of 13 proof of concept applications distributed between both operating systems (Android-iOS, iOS-iOS, Android-Android) and the design of 20 architecture diagrams of three types: sequence (connection to services and message sending), deployment and component. The decision tree was validated by mobile development experts resulting in a maximum reduction of up to 30 days of technology selection research. The effectiveness of the tree as a tool is 60%, its usefulness 80% and its ease of comprehension 90%, according to the results obtained from the experts. / Revisión por pares
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/624656 |
| Date | 09 April 2018 |
| Creators | Chioino, Jamil, Contreras, Ivan, Barrientos, Alfredo, Vives, Luis |
| Contributors | u201211429@upc.edu.pe, u201210351@upc.edu.pe, pcsiabar@upc.edu.pe, luis.vives@upc.pe |
| Publisher | Association for Computing Machinery |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Format | application/pdf |
| Source | Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico - UPC |
| Rights | info:eu-repo/semantics/restrictedAccess |
| Relation | https://dl.acm.org/citation.cfm?doid=3206098.3206103 |
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