Uma abordagem de apoio à gestão do trabalho em equipe em projetos ágeis de software baseada em mix de personalidades.

Abstract

Software companies are increasingly seeking approaches that facilitate the management of their work teams. Understanding how individuals interact during the software develop- ment process, how they think, and how they behave in teamwork environments highlights the importance of identifying the personalities of all team members as a means to improve management. In the literature, there are some approaches aimed at team management in the agile world, but they often overlook the relevance of personality as a factor influencing the quality of teamwork. This thesis presents a process, based on a Bayesian Network model, that utilizes the mix of personalities to measure, predict, evaluate, and assist in managing the quality of teamwork in agile software projects. The proposed solution was evaluated for its practical utility through action research involving six Scrum teams from real projects within an organization. Based on the results obtained, it was possible to assess the feasibility of the model in aiding the management of teamwork quality in agile software projects.