Desarrollo de un aplicativo móvil mediante el manejo de Streams de datos asincronos para encomiendas de la Empresa Vipcar Riobamba.
The use of asynchronous data streams or known also as reactive programming that provides fast and consistent response times. The main objective of this research was to develop a mobile application to automate the reception and sending of orders that the company VipCar offers in the city of Riobamba,...
Kaydedildi:
| Yazar: | |
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| Materyal Türü: | bachelorThesis |
| Dil: | spa |
| Baskı/Yayın Bilgisi: |
2021
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| Konular: | |
| Online Erişim: | http://dspace.unach.edu.ec/handle/51000/7409 |
| Etiketler: |
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Etiketle | Özet: | The use of asynchronous data streams or known also as reactive programming that provides fast and consistent response times. The main objective of this research was to develop a mobile application to automate the reception and sending of orders that the company VipCar offers in the city of Riobamba, in order to substantially improve the processes that so far work in a non-optimal way about efficiency terms. New technologies were implemented, addressing paradigms of asynchronous programming, allowing the application to be reactive, that is, to have active components ready to receive events. For the development of the mobile application, asynchronous data streams are used, which will reduce the use of resources, helping to make it a scalable application, and will facilitate a high availability of data. The mobile application for the company VipCar Riobamba, has a clear and simple interface through which users can make their orders more efficiently, optimizing time in the execution of each process, records of the time each order is served will be kept to ensure a constant optimization of service and immediate attention to users. In addition, it will allow to obtain more precise information, about the clients that contract some offered service. The system was evaluated in ten different mobile devices for ten days, data was obtained in the foreground and in the background of execution, these data were analyzed with the help of IBM SPSS statistical software showing that the application occupies the minimum amount of resources: RAM, Battery and CPU memory. |
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