Análise bibliométrica do emprego de metodologias ágeis na engenharia eletrônica: o caso do desenvolvimento de softwares

Abstract

This paper presents a bibliometric analysis of the use of agile methodologies in Electronic Engineering, focusing on software development, and investigates the influence of artificial intelligence (AI) in this context. The study was conducted based on 173 scientific articles published between 2000 and 2025, extracted from the Web of Science, and analyzed using tools such as VOSviewer and Bibliometrix. The results reveal that Scrum is the most widely used agile framework, standing out for its flexibility in complex projects, such as embedded systems. The integration of AI has shown promise, with tools such as Jira and GitHub Copilot optimizing processes such as test automation and code generation. However, ethical and technical challenges, such as algorithmic bias and the potential erosion of human collaboration, require attention. The adoption of agile methodologies in Electronic Engineering is still in its infancy compared to pure software development, due to barriers such as hardware-software integration and strict compliance requirements. The analysis identified gaps in literature, such as the scarcity of studies on agile in hardware and highly regulated environments, as well as opportunities for future research, such as the combination of agile with DevOps and IoT. This work contributes to the field by mapping the scientific literature on the topic, highlighting emerging trends, and proposing directions for further research. Limitations include the restriction to specific databases and the quantitative nature of the analysis, suggesting the need for complementary qualitative studies.