An Approach for Creating KDM2PSM Transformation Engines in ADM Context: The RUTE-K2J Case. - Guisella Angulo; Daniel San Martín; Bruno Marinho Santos; Fabiano Cutigi Ferrari; Valter Vieira de Camargo (SBCARS, 2018)

Investigating Non-Usually Employed Features in the Identification of Architectural Smells: A Machine Learning-Based Approach. - Warteruzannan Soyer Cunha; Guisella Angulo Armijo; Valter Vieira de Camargo (SBCARS, 2020)

InSet: A Tool to Identify Architecture Smells Using Machine Learning. - Warteruzannan Soyer Cunha; Guisella Angulo Armijo; Valter Vieira de Camargo (SBES, 2020)

Specification and use of concern metrics for supporting modularity-oriented modernizations. - Daniel San Martín; Guisella Angulo; Bruno Marinho Santos; Raphael Rodrigues Honda; Valter Vieira de Camargo (Softw. Qual. J., 2020)

On the Employment of Machine Learning for Recommending Refactorings: A Systematic Literature Review. - Guisella Angulo Armijo; Daniel San Martín Santibáñez; Rafael S. Durelli; Valter Vieira de Camargo (SBES, 2024)

A KDM-Based Approach for Architecture Conformance Checking in Adaptive Systems. - Daniel San Martín; Guisella Angulo; Valter Vieira de Camargo (CoRR, 2024)

A process for creating KDM2PSM transformation engines. - Guisella Angulo; Daniel San Martín; Fabiano Ferrari 001; Ignacio García Rodríguez de Guzmán; Ricardo Pérez-Castillo; Valter Vieira de Camargo (Int. J. Softw. Tools Technol. Transf., 2024)