• DocumentCode
    2359215
  • Title

    Mining Software Data

  • Author

    Turhan, Burak ; Kutlubay, Onur

  • Author_Institution
    Bogazici Univ., Istanbul
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    912
  • Lastpage
    916
  • Abstract
    Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of software development processes and the final software product. Number of researches who employ such techniques and methods on software cost and effort estimation are increasing. This article provides a software quality perspective on data mining and machine learning applications, and explains the current research challenges that are related to incorporating these tools based on several metrics derived from the software development processes and the software itself.
  • Keywords
    data mining; learning (artificial intelligence); software engineering; machine learning methods; quality assessment; software cost; software data mining; software development processes; software product; Application software; Costs; Data mining; Learning systems; Object oriented modeling; Programming; Quality management; Software metrics; Software quality; Software standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshop, 2007 IEEE 23rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-0832-0
  • Electronic_ISBN
    978-1-4244-0832-0
  • Type

    conf

  • DOI
    10.1109/ICDEW.2007.4401084
  • Filename
    4401084