EEG features, especially entropy, from code comprehension and resting-state data classify programmer expertise levels with 91.83% binary and 78.15% multi-class accuracy in stratified cross-validation.
Unex- pected but informative: What fixation-related potentials tell us about the processing of confusing program code,
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Neural Signatures of Programming Expertise: Classifying Programmer Skill Levels Using EEG Data
EEG features, especially entropy, from code comprehension and resting-state data classify programmer expertise levels with 91.83% binary and 78.15% multi-class accuracy in stratified cross-validation.