An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data: Supplementary material
Published: 12 May 2022| Version 1 | DOI: 10.17632/g4pvnwt4jc.1
Contributors:
Lucian Gonçales, , , Description
This is a supplementary material used to perform the evaluation of the classification of code comprehension based on EEG Data. This dataset includes the tasks, EEG data, and the machine learning source code to reproduce the results of the classification of developers' code comprehension based on EEG data.
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Institutions
Universidade do Vale do Rio dos Sinos
Categories
Software Engineering, Machine Learning, Electroencephalography, Recommendation System, Comprehension