INTELIGÊNCIA ARTIFICIAL GENERATIVA NA TRANSFORMAÇÃO DO DESENVOLVIMENTO DE SOFTWARE: IMPACTOS, DESAFIOS E PERSPECTIVAS FUTURAS
DOI:
https://doi.org/10.63330/armv1n5-015Palabras clave:
Inteligência Artificial Generativa, Desenvolvimento de Software, Modelos de Linguagem, Automação de Código, ProdutividadeResumen
A inteligência artificial generativa representa uma das mais significativas transformações tecnológicas do século XXI, especialmente no campo do desenvolvimento de software. Este trabalho apresenta uma pesquisa bibliográfica abrangente sobre os impactos, desafios e perspectivas futuras da IA generativa no desenvolvimento de software. Através da análise de literatura acadêmica e profissional, este estudo examina como ferramentas baseadas em modelos de linguagem de grande escala estão revolucionando práticas tradicionais de programação, desde a geração automática de código até a assistência em revisões de código. A pesquisa aborda quatro dimensões principais: os fundamentos técnicos da IA generativa, suas aplicações práticas no desenvolvimento, os impactos mensuráveis na produtividade e qualidade, e os desafios éticos e técnicos emergentes. Os resultados indicam que, embora a IA generativa ofereça benefícios substanciais em termos de eficiência e acessibilidade, questões relacionadas à propriedade intelectual, dependência tecnológica e qualidade do código gerado requerem atenção cuidadosa. Este estudo contribui para o entendimento atual do campo e fornece direcionamentos para pesquisas futuras, destacando a necessidade de frameworks éticos e metodologias de avaliação adequadas para esta nova era do desenvolvimento de software.
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Derechos de autor 2025 José Henrique Salles Pinheiro (Autor)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
