‹Programming› 2019
Mon 1 - Thu 4 April 2019 Genoa, Italy
Mon 1 Apr 2019 14:00 - 14:30 at Michelangelo - Session 3 Chair(s): Ademar Aguiar

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 programmer without interruption. In this paper, we measure programmer’s brain waves while they comprehend the source code. In the experiment, we analyze difference of time-series brain wave features between success/failure for tasks that source code comprehension and bug judgement. The result of the experiment showed the participants who success source code understanding significantly increased power spectrum of α and β wave with the time passage.

Mon 1 Apr

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:30
Session 3PX/19 at Michelangelo
Chair(s): Ademar Aguiar FEUP, Universidade do Porto
14:00
30m
Talk
Time Series Analysis of Programmer’s EEG for Debug State Classifcation
PX/19
Toyomi Ishida , Hidetake Uwano National Institute of Technology, Nara College, Japan
14:30
30m
Talk
Projectional DSLs from the ground up
PX/19
Meinte Boersma Dutch Tax and Customs Agency
15:00
30m
Talk
What can we learn from systems?
PX/19
Luke Church , Mariana Marasoiu University of Cambridge