• DocumentCode
    3009143
  • Title

    Assessing the Comprehension of UML Class Diagrams via Eye Tracking

  • Author

    Yusuf, Shehnaaz ; Kagdi, Huzefa ; Maletic, Jonathan I.

  • Author_Institution
    Dept. of Comput. Sci., Kent State Univ., Kent, OH
  • fYear
    2007
  • fDate
    26-29 June 2007
  • Firstpage
    113
  • Lastpage
    122
  • Abstract
    Eye-tracking equipment is used to assess how well a subject comprehends UML class diagrams. The results of a study are presented in which eye movements are captured in a non-obtrusive manner as users performed various comprehension tasks on UML class diagrams. The goal of the study is to identify specific characteristics of UML class diagrams, such as layout, color, and stereotype usage that are most effective for supporting a given task. Results indicate subjects have a variation in the eye movements (i.e., how the subjects navigate the diagram) depending on their UML expertise and software-design ability to solve the given task. Layouts with additional semantic information about the design were found to be most effective and the use of class stereotypes seems to play a substantial role in comprehension of these diagrams.
  • Keywords
    Unified Modeling Language; data visualisation; software engineering; UML class diagrams; eye-tracking equipment; semantic information; Computer science; Data visualization; Feedback; Navigation; Software design; Software maintenance; Software systems; Unified modeling language; Usability; Video recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Program Comprehension, 2007. ICPC '07. 15th IEEE International Conference on
  • Conference_Location
    Banff, Alberta, BC
  • ISSN
    1092-8138
  • Print_ISBN
    0-7695-2860-0
  • Type

    conf

  • DOI
    10.1109/ICPC.2007.10
  • Filename
    4268246