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
Link To Document :
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