Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review. - Cleiton Silva Tavares; Amanda Santana; Eduardo Figueiredo 001; Mariza A. S. Bigonha (CIbSE, 2020)

Detecting bad smells with machine learning algorithms: an empirical study. - Daniel Cruz; Amanda Santana; Eduardo Figueiredo 001 (TechDebt@ICSE, 2020)

An exploratory study on the identification and evaluation of bad smell agglomerations. - Amanda Santana; Daniel Cruz; Eduardo Figueiredo 001 (SAC, 2021)

Yet Another Model! A Study on Model's Similarities for Defect and Code Smells. - Geanderson E. dos Santos; Amanda Santana; Gustavo Vale; Eduardo Figueiredo 001 (FASE, 2023)

An Exploratory Evaluation of Continuous Feedback to Enhance Machine Learning Code Smell Detection. - Daniel Cruz; Amanda Santana; Eduardo Figueiredo 001 (CIbSE, 2024)

Unraveling the Impact of Code Smell Agglomerations on Code Stability. - Amanda Santana; Eduardo Figueiredo 001; Juliana Alves Pereira (ICSME, 2024)

Designing a Dashboard Together: Reporting the Experience of Co-creating a Customizable Dashboard System in a Workshop. - Amanda Santana; Lívia M. R. Sampaio; Luiz Augusto de Macêdo Morais; Andrey Brito (IHC, 2024)

Tuning Code Smell Prediction Models: A Replication Study. - Henrique Gomes Nunes; Amanda Santana; Eduardo Figueiredo 001; Heitor A. X. Costa (ICPC, 2024)

An exploratory evaluation of code smell agglomerations. - Amanda Santana; Eduardo Figueiredo 001; Juliana Alves Pereira; Alessandro Garcia 001 (Softw. Qual. J., 2024)

Evaluating a continuous feedback strategy to enhance machine learning code smell detection. - Daniel Cruz; Amanda Santana; Eduardo Figueiredo 001 (Sci. Comput. Program., 2026)