Indicados ao prêmio UFBA 2023 pelo PGCOMP
- Dissertação: " Application of biased random-key genetic algorithm and formulations for the Grundy coloring problem and the connected Grundy coloring problem" de autoria de Mateus Carvalho da Silva.
- Tese: " Organizing the State of Practice on Technical Debt Prevention, Monitoring, and Payment in Software Projects” de autoria de Emmanuel Sávio Silva Freire.