Defining agile requirements change management: a mapping study. - Danyllo Albuquerque; Everton Guimarães; Mirko Barbosa Perkusich; Antonio Alexandre Moura Costa; Emanuel Dantas; Felipe Barbosa Araújo Ramos; Hyggo Oliveira de Almeida (SAC, 2020)

Measuring Agile teamwork: a comparative analysis between two models. - Manuel Silva; Arthur Silva Freire; Mirko Barbosa Perkusich; Danyllo Albuquerque; Everton Guimarães; Angelo Hyggo Almeida; Kyller Gorgônio Perkusich (SAC, 2021)

A Comparative Study of Psychometric Instrumentsin Software Engineering. - Gleyser Guimarães; Mirko Barbosa Perkusich; Danyllo Albuquerque; Everton Guimarães; Danilo Santos 001; Hyggo O. Almeida; Angelo Perkusich (SEKE, 2021)

A Comparative Analysis of Agile Teamwork Quality Models. - Manuel Silva; Arthur Silva Freire; Mirko Barbosa Perkusich; Danyllo Albuquerque; Kyller Costa Gorgônio; Hyggo O. Almeida; Angelo Perkusich; Everton Guimarães (SoftCOM, 2021)

Comprehending the use of intelligent techniques to support technical debt management. - Danyllo Albuquerque; Everton Guimarães; Graziela Tonin; Mirko Barbosa Perkusich; Hyggo Oliveira de Almeida; Angelo Perkusich (TechDebt@ICSE, 2022)

Perceptions of Technical Debt and its Management Activities - A Survey of Software Practitioners. - Danyllo Albuquerque; Everton Guimarães; Graziela Simone Tonin; Mirko Barbosa Perkusich; Hyggo O. Almeida; Angelo Perkusich (SBES, 2022)

Empirical Assessment on Interactive Detection of Code Smells. - Danyllo Albuquerque; Everton Guimarães; Alexandre Braga Gomes; Mirko Barbosa Perkusich; Hyggo Oliveira de Almeida; Angelo Perkusich (SoftCOM, 2022)

ConCAD: A Tool for Interactive Detection of Code Anomalies. - Danyllo Albuquerque; Everton Guimarães; Mirko Barbosa Perkusich; Hyggo O. Almeida; Angelo Perkusich (VEM, 2022)

Evaluating Interactive Detection of Code Smells on Software Development Activities. - Danyllo Albuquerque; Everton Guimarães; Mirko Barbosa Perkusich; Hyggo O. Almeida; Angelo Perkusich (SoftCOM, 2023)

An Approach for Integrating Interactive Detection of Code Smells on Agile Software Development. - Danyllo Albuquerque; Everton Guimarães; Mirko Barbosa Perkusich; Hyggo O. Almeida; Angelo Perkusich (SoftCOM, 2023)

Exploring the Capabilities of Professionals and Agile Teams: An Updated Review. - Felipe Cunha; Mirko Barbosa Perkusich; Everton Guimarães; Ramon Nóbrega dos Santos; Thiago Rique; Danyllo Albuquerque; Angelo Perkusich; Hyggo O. Almeida; Kyller Costa Gorgônio (SoftCOM, 2023)

On the Assessment of Interactive Detection of Code Smells in Practice: A Controlled Experiment. - Danyllo Albuquerque; Everton Guimarães; Mirko Barbosa Perkusich; Thiago Rique; Felipe Cunha; Hyggo Oliveira de Almeida; Angelo Perkusich (IEEE Access, 2023)

Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study. - Danyllo Albuquerque; Everton Guimarães; Graziela Tonin; Pilar Rodríguez 002; Mirko Barbosa Perkusich; Hyggo O. Almeida; Angelo Perkusich; Ferdinandy Chagas (IEEE Trans. Software Eng., 2023)

LLM4DS: Evaluating Large Language Models for Data Science Code Generation. - Nathalia Nascimento 001; Everton Guimarães; Sai Sanjna Chintakunta; Santhosh Anitha Boominathan (CoRR, 2024)

How Effective are LLMs for Data Science Coding? A Controlled Experiment. - Nathalia Nascimento 001; Everton Guimarães; Sai Sanjna Chintakunta; Santhosh Anitha Boominathan (MSR, 2025)

AI in the Software Development Lifecycle: Insights and Open Research Questions. - Everton Guimarães; Nathalia Nascimento 001 (SIGSOFT FSE Companion, 2025)

Analyzing Prominent LLMs: An Empirical Study of Performance and Complexity in Solving LeetCode Problems. - Everton Guimarães; Nathalia Nascimento 001; Chandan Shivalingaiah; Asish Nelapati (CoRR, 2025)

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study. - Sai Sanjna Chintakunta; Nathalia Moraes do Nascimento; Everton Guimarães (CoRR, 2025)