Optimisation of Cloud Service Provider Selection for Cost-Effective Software Development
Omojola, Faith (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052817098
https://urn.fi/URN:NBN:fi:amk-2024052817098
Tiivistelmä
This project presents the development and evaluation of a software tool designed to assist small and medium-sized enterprises in choosing a cost-beneficial cloud service provider. The tool uses artificial intelligence to analyse and recommend optimal cloud services based on the SME’s specific requirements. The core objectives of the project were to simplify the decision-making process related to cloud adoption and optimise the use of cloud resources by SMEs.
The project used a comprehensive development approach, utilising user-centric design methodologies to ensure an intuitive and accessible interface integrated with OpenAI's GPT-4 model for dynamic cloud service recommendations. Extensive testing, including unit, integration, and system tests, achieved 80% coverage, demonstrating the robustness and functionality of the tool.
Overall, the decision-support tool significantly contributes to the SME sector, potentially improving how SMEs approach cloud service adoption, with implications for cost efficiency, scalability, and operational flexibility.
The project used a comprehensive development approach, utilising user-centric design methodologies to ensure an intuitive and accessible interface integrated with OpenAI's GPT-4 model for dynamic cloud service recommendations. Extensive testing, including unit, integration, and system tests, achieved 80% coverage, demonstrating the robustness and functionality of the tool.
Overall, the decision-support tool significantly contributes to the SME sector, potentially improving how SMEs approach cloud service adoption, with implications for cost efficiency, scalability, and operational flexibility.