| Tweet | |
| T. Ishida and H. Uwano, "Time Series Analysis of Programmer’s EEG for Debug State Classification," In the 5th Edition of the Programming Experience Workshop (PX 2019), April 2019. | |
| ID | 175 |
| 分類 | 国際会議 |
| タグ | |
| 表題 (title) |
Time Series Analysis of Programmer’s EEG for Debug State Classification |
| 表題 (英文) |
|
| 著者名 (author) |
Toyomi Ishida,Hidetake Uwano |
| 英文著者名 (author) |
|
| 編者名 (editor) |
|
| 編者名 (英文) |
|
| キー (key) |
|
| 書籍・会議録表題 (booktitle) |
the 5th Edition of the Programming Experience Workshop (PX 2019) |
| 書籍・会議録表題(英文) |
|
| 巻数 (volume) |
|
| 号数 (number) |
|
| ページ範囲 (pages) |
|
| 組織名 (organization) |
|
| 出版元 (publisher) |
|
| 出版元 (英文) |
|
| 出版社住所 (address) |
|
| 刊行月 (month) |
4 |
| 出版年 (year) |
2019 |
| 採択率 (acceptance) |
|
| URL |
|
| 付加情報 (note) |
Genoa, Italy |
| 注釈 (annote) |
|
| 内容梗概 (abstract) |
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. |
| 論文電子ファイル | 161.pdf (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@inproceedings{id175,
title = {Time Series Analysis of Programmer’s EEG for Debug State Classification},
author = {Toyomi Ishida and Hidetake Uwano},
booktitle = {the 5th Edition of the Programming Experience Workshop (PX 2019)},
month = {4},
year = {2019},
note = {Genoa, Italy},
}
|
