• DocumentCode
    3307499
  • Title

    A Study of Student Experience Metrics for Software Development PBL

  • Author

    Kohichi, Umekawa ; Igaki, Hiroshi ; Higo, Yoshiki ; Kusumoto, Shinji

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    465
  • Lastpage
    469
  • 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.
  • Keywords
    computer science education; information systems; software development management; software fault tolerance; software quality; ICT; LOC; development process quality; educational technique; high-quality software; human resource; information and communication technology; information system; lines of code; online storage; product quality; project-based learning; social problem; software defect; software development PBL; software engineer; software failure; student evaluation metrics; student experience metrics; student knowledge; student skill; Educational institutions; Java; Software; Time measurement; Visualization; PBL; metrics; process improvement; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2120-4
  • Type

    conf

  • DOI
    10.1109/SNPD.2012.76
  • Filename
    6299322