Designing a decision tree for cross-device communication technology aimed at iOS and android developers
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Fecha de publicación
2018-04-09Palabras clave
Decision treesiOS (operating system)
Data mining
Android (operating system)
Mobile development
xmlui.metadata.dc.contributor.email
u201211429@upc.edu.peu201210351@upc.edu.pe
pcsiabar@upc.edu.pe
luis.vives@upc.pe
Metadatos
Mostrar el registro completo del ítemEditorial
Association for Computing MachineryJournal
ACM International Conference Proceeding SeriesDOI
10.1145/3206098.3206103Enlaces adicionales
https://dl.acm.org/citation.cfm?doid=3206098.3206103Resumen
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.Tipo
info:eu-repo/semantics/articleDerechos
info:eu-repo/semantics/restrictedAccessIdioma
engDescripción
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.ae974a485f413a2113503eed53cd6c53
10.1145/3206098.3206103
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