• DocumentCode
    2677725
  • Title

    Teaching and Training for Software Analytics

  • Author

    Zhang, Dongmei ; Dang, Yingnong ; Han, Shi ; Xie, Tao

  • Author_Institution
    Microsoft Res. Asia, Beijing, China
  • fYear
    2012
  • fDate
    17-19 April 2012
  • Firstpage
    92
  • Lastpage
    92
  • Abstract
    Software analytics is to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks around software and services. When applying analytic technologies in practice of software analytics, one should incorporate (1) a broad spectrum of domain knowledge and expertise, e.g., management, machine learning, large-scale data processing and computing, and information visualization; and (2) investigate how practitioners take actions on the produced information, and provide effective support for such information-based action taking. This tutorial instructs materials to equip participants with skills and knowledge of conducting software analytics along with teaching and training students and practitioners for software analytics in university or industrial settings.
  • Keywords
    computer science education; data analysis; data visualisation; learning (artificial intelligence); program diagnostics; teaching; training; analytic technology; data analysis; data exploration; data-driven task; domain expertise; domain knowledge; information visualization; information-based action taking; large-scale data processing; machine learning; management; software analytics; software practitioners; student training; teaching; Conferences; Educational institutions; Machine learning; Software; Software engineering; Training; Tutorials; software analytics; software engineering education and training; technology transfer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Education and Training (CSEE&T), 2012 IEEE 25th Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • ISSN
    1093-0175
  • Print_ISBN
    978-1-4673-1592-0
  • Type

    conf

  • DOI
    10.1109/CSEET.2012.14
  • Filename
    6245015