Time series analysis of programmer's EEG for debug state classification

Autor: Hidetake Uwano, Toyomi Ishida
Rok vydání: 2019
Předmět:
Zdroj: Programming
DOI: 10.1145/3328433.3328459
Popis: Appropriate support for debugging contributes to efficient software development. Several previous studies used bio information such as brain activity to classify the inner-state of programmers without any interruption. In this paper, we measure programmer's brain waves while they comprehend the source code. In an experiment, we analyze difference of time-series brain wave features between success/failure for tasks involving source code comprehension and bug judgement. The result of the experiment showed the participants who successfully understand source code significantly increased power spectrum of α and β wave with the time passage.
Databáze: OpenAIRE