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Assessing the Comprehension of UML Class Diagrams via Eye Tracking

Yusuf Patel Dawoodi, Shehnaaz
http://rave.ohiolink.edu/etdc/view?acc_num=kent1194997886

Abstract Details

2007, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
In this thesis, eye-tracking equipment is used to assess how well a subject comprehends UML class diagrams. The goal of the study is to identify specific characteristics of UML class diagram, such as layout, color, and stereotype usage that are most effective for supporting a given task. Prior investigations in the software visualization and program comprehension communities have primarily focused on effective layout schemes and key aesthetics criteria with the goal of enhancing the cognitive process. A number of usability studies have been reported that evaluate UML class diagrams, including those with additional semantic information (e.g., class stereotypes), for an effective representation in addressing various software evolution tasks. These studies typically form conjectures and/or draw conclusions from the data explicitly collected from subjects’ via a combination of questionnaires, experience reports, and feedback comments after a designated task is completed. This raises a potential threat to the validity of the study namely: How well the subjects’ responses on completion of a task match the “reality” they observed while performing that task? That is, a subject may forget to report (or misreport) an observation after a lengthy task for example. Here we take a different approach to assess UML class diagrams. 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.
Jonathan Maletic (Advisor)
61 p.
Computer Science
UML; Class Diagrams; Eye Tracking; Program Comprehension

Recommended Citations

Citations

  • Yusuf Patel Dawoodi, S. (2007). Assessing the Comprehension of UML Class Diagrams via Eye Tracking [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1194997886

    APA Style (7th edition)

  • Yusuf Patel Dawoodi, Shehnaaz. Assessing the Comprehension of UML Class Diagrams via Eye Tracking. 2007. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1194997886.

    MLA Style (8th edition)

  • Yusuf Patel Dawoodi, Shehnaaz. "Assessing the Comprehension of UML Class Diagrams via Eye Tracking." Master's thesis, Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=kent1194997886

    Chicago Manual of Style (17th edition)

kent1194997886
3,143
© 2007, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.