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, Kleinner Farias, Lucas Silveira Kupssisnkü, Matheus Segalotto

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

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