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Lucian José Gonçales
Lucian José Gonçales
Universidade do Vale do Rio dos Sinos (UNISINOS),São Leopoldo, Rio Grande do Sul, Brazil
Verified email at edu.unisinos.br
Title
Cited by
Cited by
Year
Measuring the cognitive load of software developers: a systematic mapping study
L Gonçales, K Farias, B da Silva, J Fessler
2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019
472019
Integration of feature models: A systematic mapping study
V Bischoff, K Farias, LJ Gonçales, JLV Barbosa
Information and Software Technology 105, 209-225, 2019
372019
Measuring the cognitive load of software developers: An extended Systematic Mapping Study
LJ Gonçales, K Farias, BC da Silva
Information and Software Technology 136, 106563, 2021
322021
BRCode: An interpretive model-driven engineering approach for enterprise applications
A Oliveira, V Bischoff, LJ Gonçales, K Farias, M Segalotto
Computers in Industry 96, 86-97, 2018
192018
Comparison of Design Models: A Systematic Mapping Study
LJ Gonçales, K Farias, M Scholl, M Roberto Veronez, TC de Oliveira
International Journal of Software Engineering and Knowledge Engineering 25 …, 2015
162015
Comparison of software design models: an Extended systematic mapping study
LJ Gonçales, K Farias, TCD Oliveira, M Scholl
ACM Computing Surveys (CSUR) 52 (3), 1-41, 2019
152019
On the UML use in the Brazilian industry: A state of the practice survey (S).
K Farias, L Gonçales, V Bischoff, BC da Silva, ET Guimarães, J Nogle
SEKE, 372-371, 2018
142018
Toward an Architecture for Model Composition Techniques.
K Farias, L Gonçales, M Scholl, TC Oliveira, M Veronez
SEKE, 656-659, 2015
112015
Model Comparison: a Systematic Mapping Study.
L Gonçales, K Farias, M Scholl, TC Oliveira, M Veronez
SEKE, 546-551, 2015
102015
UML2Merge: a UML extension for model merging
K Farias, T de Oliveira Cavalcante, L José Gonçales, V Bischoff
IET Software 13 (6), 575-586, 2019
92019
An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data
LJ Gonçales, K Farias, LS Kupssinskü, 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
Supporting the composition of UML component diagrams
G Ermel, K Farias, LJ Gonçales, V Bischoff
Proceedings of the XIV Brazilian Symposium on Information Systems, 1-9, 2018
72018
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
Detecting Inconsistencies in Multi-view UML Models
V Weber, K Farias, L Gonçales, V Bischoff
International Journal of Computer Science and Software Engineering 5 (12), 260, 2016
52016
Towards a Hybrid Approach to Measure Similarity Between UML Models
LJ Gonçales, K Farias, V Bischoff
Proceedings of the XV Brazilian Symposium on Information Systems, 1-8, 2019
32019
DORIC: An Architecture for Data-intensive Real-time Applications
MK Cadaviz, K Farias, LJ Gonçales, V Bischoff
Proceedings of the XIV Brazilian Symposium on Information Systems, 1-7, 2018
32018
Effects of Model Composition Techniques on Effort and Affective States: A Controlled Experiment (S).
M Manica, K Farias, L Gonçales, V Bischoff, BC da Silva, ET Guimarães
SEKE, 304-303, 2018
32018
Supporting collaborative modelling in UML class diagrams
RAC Neto, K Farias, V Bischoff, LJ Gonçales
Revista Brasileira de Computação Aplicada 11 (3), 39-46, 2019
22019
UMLCollab: Uma abordagem híbrida para modelagem colaborativa de modelos UML
SL McLyndon, K Farias, J Barbosa, L Gonçales, V Bishoff
Anais do XV Simpósio Brasileiro de Sistemas de Informação, 231-238, 2019
2*2019
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Articles 1–20