Inteligência artificial na engenharia de software

• Autor(a) principal: Pacola, Vinícius
• Data de Publicação: 2021
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://repositorio.pucsp.br/jspui/handle/handle/31420
• topic: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARE; Engenharia de software; Inteligência artificial; Redes neurais; Lógica Fuzzy; Redes Bayesianas; Software engineering; Artificial intelligence; Neural networks; Fuzzy logic; Bayesian Networks

The simple mention of the words "artificial intelligence" tends to easily refer to others, such as "innovation" and "modernity", as it is a scientific advance that may bring positive news for humanity in the future. Nowadays, AI is beginning to expand its areas of research in several directions and is trying to integrate different methods into large-scale systems, in an effort to exploit to the full the advantages of each of them in a large number of areas of knowledge. Since applications are made in a large number of areas of knowledge such as medicine, biology, engineering, education, etc. This wave of artificial intelligence also impacts the work of software engineers, so it is important to be prepared. Developers must understand what these technologies are and how they can apply them, both in the software development lifecycle and in the applications themselves. Given the above, this work seeks to analyze the application of artificial intelligence techniques in the software engineering environment. The specific objectives of this work were: to talk about software engineering; understand the peculiarities of artificial intelligence; and, to present the use of artificial intelligence techniques in the aid of software development. The methodology used in this work was the bibliographic review. It was concluded that The software development process is a candidate for improvement through artificial intelligence. However, for this to happen it is necessary that the processes are defined and instrumented. Mature organizations already have this in place and will be the first to reap these benefits, which, in turn, will allow them to build better software with less effort