Hybrid Methodology Design aplicada al desarrollo de una aplicación móvil para gestionar los pedidos a domicilio del Corcel Negro de Riobamba

Nowadays, the mobile application developers are facing new trends to develop mobile software, through applying different methodologies that guarantee the project quality in a determined time. Hybrid Methodology Design is an agile software development process that reaches rapid software delivery and...

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Autor principal: Troya Arias, Gilda Morella (author)
Format: bachelorThesis
Idioma:spa
Publicat: 2022
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Accés en línia:http://dspace.unach.edu.ec/handle/51000/9980
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Sumari:Nowadays, the mobile application developers are facing new trends to develop mobile software, through applying different methodologies that guarantee the project quality in a determined time. Hybrid Methodology Design is an agile software development process that reaches rapid software delivery and improves risk management proficiency. “Corcel Negro” a food company located in Riobamba, currently offers its products through social networks such as Facebook and Instagram, the management of home orders is done via phone calls, which cause inconvenience in customers due to the waiting time, causing loss in sales. For this reason, web mobile and application were developed to permit effective supervise on home orders, with the purpose that “Corcel Negro” company gets agile service, during the development stage of the mobile app about the Hybrid Methodology Design and the framework were used. moreover, JavaScript React Native, whose objective is to guarantee the performance of the mobile application. When the tests were realized, the data based on the parameters of the FURPS quality model were analyzed to ensure the quality of the software. Finally, the performance of the mobile application was evaluated with the JMeter tool based on the values of each parameter that FURPS had established, showing as a result that according to the 133 concurrent virtual users range, the next results were obtained: 100% efficiency, 591.17ms of time response, 5.33% resource utilization on the mobile device