• DocumentCode
    2430907
  • Title

    Organizing the technical debt landscape

  • Author

    Izurieta, Clemente ; Vetrò, Antonio ; Zazworka, Nico ; Cai, Yuanfang ; Seaman, Carolyn ; Shull, Forrest

  • Author_Institution
    Dept. of Comput. Sci., Montana State Univ., Bozeman, MT, USA
  • fYear
    2012
  • fDate
    5-5 June 2012
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps among these classes and TD have not been rigorously demonstrated. We propose to construct a seminal technical debt landscape as a way to visualize and organize research on the subject.
  • Keywords
    object-oriented programming; classes; design anomalies; seminal technical debt landscape; source code anomalies; Conferences; Data mining; Maintenance engineering; Organizing; Software; Software engineering; USA Councils; Code Smells; Design Debt; Landscape; technical debt;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Managing Technical Debt (MTD), 2012 Third International Workshop on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-1748-1
  • Type

    conf

  • DOI
    10.1109/MTD.2012.6225995
  • Filename
    6225995
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2430907