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Matheus Segalotto
Matheus Segalotto
Student of Applied Computing, University of Vale do Rio dos Sinos
Verifierad e-postadress på edu.unisinos.br - Startsida
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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
192018
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
82022
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
82021
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
52020
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
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
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Artiklar 1–7