Design and Quality Assessment of a Cloud-Based Feedback Platform using Azure : Practical Implementation Performance Evaluation

This thesis presents the development and quality assurance (QA) processes involved in creating a comprehensive survey platform for Stellantis, a leading global automotive manufacturer encompassing iconic brands such as Fiat, Chrysler, Jeep, Dodge, Ram, Alfa Romeo, Maserati, Peugeot, Citroen, Opel, and Vauxhall. The primary objective of this survey platform is to collect and analyse customer feedback across sales, service, and shopping experiences to enhance overall satisfaction and improve product and services. The project utilizes an array of modern technologies including JSON for data interchange, CSS for user interface design, SQL for database management, APIs for integrating external services, and Azure for cloud hosting and services. As the configuration and QA tester, my responsibilities encompass configuring the platform to meet specific requirements, managing user access and per-missions, and ensuring the platform’s functionality through rigorous testing. Key tools employed in the development and QA processes include Azure Portal for resource management and deployment, Azure Storage Explorer for data manipulation, SQL for data management, Postman for API operations, Confluence for collaborative documentation, SharePoint for centralized project documentation, and Jira for agile project management. This thesis presents details of the methodologies used in configuring the platform, developing test plans, identifying and documenting defects, and collaborating with developers and stakeholders to ensure a seamless and error-free user experience. This project not only highlights the technical and operational challenges involved in developing large-scale platforms but also underscores the critical importance of quality assurance in ensuring the success of digital initiatives within the automotive industry.