U. Kohichi, H. Igaki, Y. Higo, and S. Kusumoto, "A Study of Student Experience Metrics for Software Development PBL," In Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD), 2012 13th ACIS International Conference on, 465 -469 August 2012.
ID 236
分類 国際会議
タグ development experience metrics pbl software student study
表題 (title) A Study of Student Experience Metrics for Software Development PBL
表題 (英文)
著者名 (author) Umekawa Kohichi,Hiroshi Igaki,Yoshiki Higo,Shinji Kusumoto
英文著者名 (author) Umekawa Kohichi,Hiroshi Igaki,Yoshiki Higo,Shinji Kusumoto
編者名 (editor)
編者名 (英文)
キー (key) Umekawa Kohichi,Hiroshi Igaki,Yoshiki Higo,Shinji Kusumoto
書籍・会議録表題 (booktitle) Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD), 2012 13th ACIS International Conference on
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 465 -469
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 8
出版年 (year) 2012
採択率 (acceptance)
URL 10.1109/SNPD.2012.76
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) In recent years, the increased failure originated in the software defects, in various information systems causes a serious social problem. In order to build a high-quality software, cultivation of ICT (Information and Communication Technology) human resources like a software engineer is required. A software development PBL (Project-based Learning) is the educational technique which lets students acquire knowledge and skill spontaneously through practical software development. In PBL, on the other hand, it is difficult to evaluate not only the quality of the product but also the quality of the development process in the project. In this paper, we propose the student evaluation metrics to assess the development process in PBL. The student evaluation metrics represent LOC (Lines of Code) and development time for each product developed by a student. By using online storage, these metrics can be measured and visualized automatically. We conducted an experiment to evaluate the accuracy of the metrics about development time. As a result, we confirmed that development time metrics can be measured with approximately 20% of error.
論文電子ファイル 2012_SNPD_umekawa.pdf (application/pdf) [一般閲覧可]
BiBTeXエントリ
@inproceedings{id236,
         title = {A Study of Student Experience Metrics for Software Development {PBL}},
        author = {Umekawa Kohichi and Hiroshi Igaki and Yoshiki Higo and Shinji Kusumoto},
     booktitle = {Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD), 2012 13th ACIS International Conference on},
         pages = {465 -469},
         month = {8},
          year = {2012},
}