In many institutions, the evaluation of faculty performance in graduate programs is carried out using instruments designed for undergraduate programs or with an exclusive focus on research, which limits the effectiveness and objectivity of the evaluation in the classroom. Therefore, it is necessary to develop a specific instrument to assess teaching in the graduate context, one that facilitates effective feedback and promotes continuous improvement in the teaching-learning process. This work presents the development of a methodology based on the Design Science Research model and an agile approach using Scrum, applied to create a teaching evaluation instrument for graduate programs. The methodological process was structured in two phases: the first phase involved an analysis of the state of the art, while the second adopted an iterative approach in three stages. During each sprint, the instrument was refined through feedback from students, faculty, and administration, allowing for continuous improvement and adaptation to the needs of the context. The applied methodology resulted in an effective tool, adapted to the academic environment, that significantly contributes to the improvement of educational management and teaching quality in graduate-level programs.

In this research work, the evaluation of the criteria, components or characteristics offered by the three main DBaaS providers in the cloud was carried out: Google Cloud Platform (GCP), Microsoft Azure and Amazon Web Services (AWS), in relation to the offer of Database as a service (DBaaS) for PostgreSQL, in order to determine which is the best DBaaS option for an information system with a database in the cloud; An information system with DBaaS is developed as a case study to support the research, where the use of a methodology based on research and technological development is proposed. The DBaaS criteria, components, or features that were evaluated were availability, security, capacity, quick elasticity, performance, support, and cost. It is concluded that Azure DBaaS for PostgreSQL through a flexible server is the most appropriate DBaaS provider for the case study developed.