International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Suggestive Implementation of a Cohesive Model for Delivery of Heterogeneous Products using Android

Authors: Anvesh Anand Dhumal, Prof Altaf Taher Shah, Prof Shabnam Sharma

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Abstract: The purpose of this research is making a delivery application based on Android with options like New Order, Order History, Order Status, Tracking Order, and Setting Profile features. The research method used in this research is water model of System Development Life Cycle (SDLC) method with following phases: requirement definition, analysing and determining the features needed in developing application and making the detail definition of each features, system and software design, designing the flow of developing application by using storyboard design, user experience design, Unified Modeling Language (UML) design, and database structure design, implementation of a unit testing, making database and translating the result of designs to programming language code then doing unit testing, integration and System testing, integrating unit program to one-unit system then doing system testing, operation and maintenance, operating the result of system testing and if any changes and reparations needed then the previous phases could be back. The result of this research is an ordering food application based on Android for customer and courier user, and a website for restaurant and admin user. The conclusion of this research is to help customer in making order easily, to give detail information needed by customer, to help the customer in receiving order at home.

Keywords: Android app, E-commerce, online shopping, M-commerce, Order Tracking


Paper Id: 1.11

Published On: 2018-10-18

Published In: Special Issue - SOIT - ADYPU (October 2018)

Cite This: Suggestive Implementation of a Cohesive Model for Delivery of Heterogeneous Products using Android - Anvesh Anand Dhumal, Prof Altaf Taher Shah, Prof Shabnam Sharma - IJIRMPS Special Issue - SOIT - ADYPU (October 2018).

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