BRCode: An interpretive model-driven engineering approach for enterprise applications A Oliveira, V Bischoff, L José Gonçales, K Farias, M Segalotto Computers in Industry 96, 86–97, 2018 | 22 | 2018 |
An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data LJ Gonçales, K Farias, LS Kuppsinskü, M Segalotto Expert Systems with Applications 203, 117354, 2022 | 9 | 2022 |
The effects of applying filters on EEG signals for classifying developers’ code comprehension LJ Gonçales, K Farias, L Kupssinskü, M Segalotto Journal of applied research and technology 19 (6), 584-602, 2021 | 9 | 2021 |
Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data LJ Gonçales, K Farias, LS Kupssinskü, M Segalotto Proceedings of the 19th Brazilian Symposium on Human Factors in Computing …, 2020 | 6 | 2020 |
Effects of Modularization on Developers' Cognitive Effort in Code Comprehension Tasks: A Controlled Experiment M Segalotto, W Bolzan, K Farias Proceedings of the XXXVII Brazilian Symposium on Software Engineering, 206-215, 2023 | 2 | 2023 |
ARNI: an EEG-Based Model to Measure Program Comprehension M Segalotto Universidade do Vale do Rio dos Sinos, 2018 | | 2018 |
Toward an Architecture for Comparing UML Design Models LJ Gonçales, K Farias, V Bishoff, M Segalotto Journal of Software 12 (7), 2017 | | 2017 |