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Rafael Berto Pereira defended at FCTE/UnB an undergraduate thesis investigating the complementary use of ChatGPT in software engineering processes — through a case study with …

Luis Bruno Fidelis Gomes defended at FCTE/UnB an undergraduate thesis developing Business Intelligence dashboards for monitoring by professionals of Brazil’s Psychosocial Care …

Felipe Boccardi Silva Agustini and Giovanna Borges Bottino defended at FCTE/UnB an undergraduate thesis integrating a payment module into AgroMart and, in the process, taking on …

Lucas Ganda Carvalho and Wíctor Bastos Girardi defended at FCTE/UnB an undergraduate thesis investigating execution-time prediction for AWS Lambda functions — a key input for cost …

Lucas Lopes Xavier defended at FCTE/UnB an undergraduate thesis translating LGPD and ISO 29100 requirements into implementable specifications for applications — shortening the …

Ítalo Alves Guimarães defended at FCTE/UnB an undergraduate thesis implementing an application to support the gamified Human-Computer Interaction course — a piece the very use in …

João Vitor Lopes de Farias defended at FCTE/UnB an undergraduate thesis examining the use of RPGs as the backbone of a learning process — combining narrative, roles and challenges …

Edmilson Cosme da Silva defended at UnB’s PPCA a dissertation applying machine learning to predict academic dropout in UnB’s on-campus undergraduate programs.

Guilherme Daniel Fernandes da Silva and Lorrayne Alves Cardozo defended at FCTE/UnB an undergraduate thesis analyzing the relationship between software quality and population …

Públio Pastrolin Cavalcante defended at UnB’s PPCA a dissertation evaluating how gamification applied to police intelligence activities affects the quality of reports produced.

Nathalia Lorena Cardoso Dias defended at FCTE/UnB an undergraduate thesis using a systematic literature review to investigate why formally defined software improvement processes …

João Vitor de Moura Rosa Silva defended at FCTE/UnB an undergraduate thesis building SAMI — a system for analyzing learning indicator metrics in active-methodology courses.