Refatoração do módulo pesquisa da plataforma egressos desenvolvido para a pós-graduação stricto sensu do campus Ponta Grossa da UTFPR

Abstract

With the advancement of open data initiatives in education, academic systems have begun to integrate information from different sources to support institutional analysis and monitoring processes. In this context, the Graduate Alumni Platform of the Federal Technological University of Paraná (UTFPR) uses CAPES data to complement information related to the institution's graduates. However, with the evolution of the platform and the increased complexity of its functionalities, the alumni research module began to present problems related to code organization, maintainability, and control of external integrations. Therefore, this work presents the refactoring of the research module of the Alumni Platform, aiming to improve code quality, maintainability, and system performance. The methodology adopted consisted of analyzing the existing code, identifying structural problems, defining refactoring strategies, implementing improvements, and validating the results obtained. During the analysis, problems such as high coupling, lack of separation of responsibilities, a large volume of uncontrolled external requests, and low code readability were identified. The refactoring involved modularizing the processing flow, introducing request control mechanisms, proper exception handling, using in-memory caching, and reorganizing the persistence logic. The results demonstrated significant improvements in code organization, system reliability, and control of integration with external services, while maintaining the original functional behavior. It is concluded that the application of refactoring techniques effectively contributes to improving the quality of real-world systems that operate with data integration and intensive processing.