• DocumentCode
    596203
  • Title

    A Visualization Technique for Metrics-Based Hierarchical Quality Models

  • Author

    Chotjaratwanich, U. ; Arpnikanondt, C.

  • Author_Institution
    Requirements Eng. Lab., KMUTT, Bangkok, Thailand
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    733
  • Lastpage
    736
  • Abstract
    Software quality is an impalpable concept, any quality goal set can prove to be elusive at best. A number of quality models have been proposed over the years that have tried to shed light on quality in a more systematic way. Even these quality models could be complex themselves and relationships among the various elements in the model could be tedious and cumbersome. This paper proposes a visualization technique for the metrics-based hierarchical quality model. The proposed technique relies on a proven visualization approach developed for viewing neural network models. It makes use of shapes, colors and line width to portray the relations among elements that simultaneously contribute to the targeted effective quality. An application case study is also presented to demonstrate its use.
  • Keywords
    data visualisation; neural nets; software metrics; software quality; metrics-based hierarchical quality model; neural network model; software quality; visualization technique; Software engineering; metrics; qmood; quality; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
  • Conference_Location
    Hong Kong
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4673-4930-7
  • Type

    conf

  • DOI
    10.1109/APSEC.2012.81
  • Filename
    6462737