通过眼动追踪评估对UML类图的理解

Shehnaaz Yusuf, Huzefa H. Kagdi, Jonathan I. Maletic
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引用次数: 148

摘要

眼球追踪设备被用来评估受试者对UML类图的理解程度。当用户在UML类图上执行各种理解任务时,以一种非突兀的方式捕捉眼球运动的研究结果。该研究的目标是确定UML类图的特定特征,例如布局、颜色,以及对支持给定任务最有效的原型使用。结果表明受试者的眼球运动有变化(例如,受试者如何浏览图表),这取决于他们的UML专业知识和解决给定任务的软件设计能力。带有关于设计的额外语义信息的布局被发现是最有效的,类原型的使用似乎在理解这些图中扮演了重要的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Comprehension of UML Class Diagrams via Eye Tracking
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.
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