• DocumentCode
    155197
  • Title

    In-process Usability Problem Classification, Analysis and Improvement

  • Author

    Ruili Geng ; Mingrui Chen ; Tian, J.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    2014
  • fDate
    2-3 Oct. 2014
  • Firstpage
    240
  • Lastpage
    245
  • Abstract
    In recent years, more organizations began to address usability problems to improve their competitive position and foster customer loyalty. Although there are some classification schemes to address usability problems, there is no cause-effect framework to enable in-process usability feedback and improvement. Orthogonal defect classification (ODC) had been widely used in software development process, but with insufficient attention to usability problems. In this paper, we present a classification and analysis framework to integrate usability practices with ODC framework. With our framework, the cause-effect relationship can be identified. By addressing the usability problems during the whole development cycle, human computer interface (HCI) and software process can be improved together. A case study was conducted to demonstrate the viability and effectiveness of our framework.
  • Keywords
    human computer interaction; software process improvement; HCI; ODC framework; cause-effect relationship; customer loyalty; development cycle; human computer interface; in-process usability feedback; in-process usability problem classification; orthogonal defect classification; software development process; software process improvement; Atmospheric measurements; Testing; Time measurement; Usability; User interfaces; Visualization; Defect classification and analysis; Human Computer Interaction; Software process; Usability; Usability inspection and testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality Software (QSIC), 2014 14th International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1550-6002
  • Print_ISBN
    978-1-4799-7197-8
  • Type

    conf

  • DOI
    10.1109/QSIC.2014.49
  • Filename
    6958411