APOIANDO A GESTÃO DE PROJETOS DE SOFTWARE EM EDUCAÇÃO: UMA ABORDAGEM COM INTELIGÊNCIA ARTIFICIAL

Abstract

This monograph proposes the development of a project management Web API system aimed at the educational environment, with the goal of assisting teachers in forming student teams based on agile methodologies, especially Scrum. The system uses Genetic Algorithms as the main Artificial Intelligence technique to optimize team composition, considering the students’ professional profiles, their preferences, and the requirements of software projects. To validate the effectiveness of the Genetic Algorithm in forming these teams, a brute-force method was used to generate all possible student combinations, identifying the optimal solution for project development. Additionally, comparative tests were conducted between different team formation approaches, and the results indicated that the brute-force execution time is significantly higher than that of the Genetic Algorithm. As a result, the Genetic Algorithm proved to be a more efficient and suitable solution for educational use, providing agility and practicality for teachers in project-based learning environments.