Smart Review: automação do processo de comunicação sobre revisão de código-fonte

Abstract

This study aims to propose automation practices in the communication of code review stages, focusing on the integration of Git repository management platforms (with webhooks) and chatbots in Enterprise Social Networks (ESN). Specific objectives include mapping the modern code review flow (MCR), analyzing tools available in the market over the past 15 years, designing a system to facilitate MCR communication, establishing evaluation metrics, and testing the solution in a real-world environment. The research adopted an applied method, based on the Software Engineering methodology proposed by Sommerville, structured into four phases: requirements elicitation, analysis and project design, implementation, and case study. The results indicate that automation in the code review process reduces repetitive tasks, improves the clarity and consistency of communication, and promotes greater alignment with team guidelines. It is concluded that by integrating two well-defined systems — one for artifact version control and another for communication — within the context of code review, important efficiency gains can be achieved, making it a promising strategy to enhance the productivity of software development teams.