Master thesis : Multi-user and multi-device support for the ATHLETin project
Ozdemir, Kenan
Promotor(s) : Mathy, Laurent ; Gain, Gaulthier
Date of defense : 4-Sep-2023/5-Sep-2023 • Permalink : http://hdl.handle.net/2268.2/18369
Details
Title : | Master thesis : Multi-user and multi-device support for the ATHLETin project |
Author : | Ozdemir, Kenan |
Date of defense : | 4-Sep-2023/5-Sep-2023 |
Advisor(s) : | Mathy, Laurent
Gain, Gaulthier |
Committee's member(s) : | Leduc, Guy
Louveaux, Quentin |
Language : | English |
Discipline(s) : | Engineering, computing & technology > Computer science |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en sciences informatiques, à finalité spécialisée en "computer systems security" |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] The ATHLETin project, established by the CPLU, provides support for professionals to conduct studies on users. The project involves a mobile platform for users to complete surveys, as well as a web-based platform for professionals notably to define and assign surveys. The underlying back-end includes a server and a secure database that store persistently all relevant data of the project in compliance with GDPR regulations.
This Master's thesis contributes to the project by designing and developing primary features within the existing architecture while also proposing valuable extensions. The work is organised into 3 distinct modules, conceived through discussions involving the professor Laurent MATHY and his team. One module extends the mobile application by enabling multiple users to share and use the same device. Another module facilitates the synchronisation of all survey progression for users across the entire architecture. The third module introduces user relations, simplifying the management of users and survey assignments, while also allowing users to assist each other in completing surveys.
These 3 modules have been subject to thorough testing employing various strategies and technologies, along with a detailed guideline for their deployment. To conclude, this report overviews the entire work and suggests potential feature enrichment for future implementations.
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