[1]
Pérez-Gutiérrez, B.R. et al. 2022. A machine learning approach to support the identification of architectural technical debt. Mundo FESC Journal. 12, 23 (Jan. 2022), 126–140. DOI:https://doi.org/10.61799/2216-0388.1198.