Designing a decision tree for cross-device communication technology aimed at iOS and android developers
dc.contributor.author | Chioino, Jamil | * |
dc.contributor.author | Contreras, Ivan | * |
dc.contributor.author | Barrientos, Alfredo | * |
dc.contributor.author | Vives, Luis | * |
dc.date.accessioned | 2018-11-27T13:33:02Z | |
dc.date.available | 2018-11-27T13:33:02Z | |
dc.date.issued | 2018-04-09 | |
dc.identifier.doi | 10.1145/3206098.3206103 | es_PE |
dc.identifier.uri | http://hdl.handle.net/10757/624656 | |
dc.description | El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. | en_US |
dc.description.abstract | 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. | en_US |
dc.format | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Association for Computing Machinery | en_US |
dc.relation.url | https://dl.acm.org/citation.cfm?doid=3206098.3206103 | en_US |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_US |
dc.source | Universidad Peruana de Ciencias Aplicadas (UPC) | es_PE |
dc.source | Repositorio Académico - UPC | es_PE |
dc.subject | Decision trees | en_US |
dc.subject | iOS (operating system) | en_US |
dc.subject | Data mining | en_US |
dc.subject | Android (operating system) | en_US |
dc.subject | Mobile development | en_US |
dc.title | Designing a decision tree for cross-device communication technology aimed at iOS and android developers | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.journal | ACM International Conference Proceeding Series | en_US |
dc.description.peerreview | Revisión por pares | es_PE |
dc.contributor.email | [email protected] | es_PE |
dc.contributor.email | [email protected] | es_PE |
dc.contributor.email | [email protected] | es_PE |
dc.contributor.email | [email protected] | es_PE |
refterms.dateFOA | 2018-11-27T13:33:03Z | |
dc.identifier.isni | 0000 0001 2196 144X |