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Autores
Orientador(es)
Resumo(s)
Due to recent breakthroughs in Artificial Intelligence, we have seen an increase in its capabilities, which
has also bolstered an unprecedent potential for automation, as these technologies can also automate
or assist in tasks innate to human intellect and creativity. As a result, these technologies are expected
to redefine many professional occupations, increasing their overall productivity, along with numerous
other advantages elucidated in this study. This has fueled an increase in enthusiasm for AI, both from
academia and corporations, as can be seen in the contemporary increase in articles investigating the
inclusion of AI in many fields, and in AI-based products available on the market, respectively. However,
there is a shortage of prescriptive tools that advise entities on their inclusion in the software
development process. To address this gap, this study employs a thorough literature review along with
Design Science Research to uncover the way these two fields mutually interact. The main result of this
dissertation is a novel framework that advises on the most appropriate algorithms for the different
phases of the software development life cycle.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Artificial Intelligence Software Development Software Development Lifecycle Machine Learning Automation SDG 9 - Industry, innovation and infrastructure
