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  1. Proceedings of the 1st ACM international workshop on Empirical assessment of software engineering languages and technologies (WEASELTech '07)
  2. On using eye tracking in empirical assessment of software visualizations
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Generating Java unit tests with AI planning
Assessing work for static software bug detection
Efficient time-aware prioritization with knapsack solvers
Using coverage effectiveness to evaluate test suite prioritizations
On using eye tracking in empirical assessment of software visualizations
Toward a task model of concurrent software maintenance
Comprehensibility of UML-based formal model: a series of controlled experiments
A survey on model-based testing approaches: a systematic review
Practical experiments are informative, but never perfect
Case study, interrupted: the paucity of subject systems that span the requirements-architecture gap
Experimental evaluation of a lightweight method for augmenting requirements analysis

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On using eye tracking in empirical assessment of software visualizations

Content Provider ACM Digital Library
Author Yusuf, Shehnaaz Kagdi, Huzefa Maletic, Jonathan I.
Abstract The paper advocates the use of eye movement measurements in conducting empirical studies of software engineering tools, especially visualization techniques. Traditionally, measures such as accuracy and performance time have been used to assess and compare different tools for a given set of tasks. These measures are typically collected after the conclusion of an assigned task. Eye tracking adds a new additional dimension to the assessment arsenal by allowing access to the gaze activity of human subjects. The gaze activities can be captured quite precisely while a task is being performed. Thus, providing a unique opportunity to include measures of how exactly humans use a tool and ratiocinate their conclusions. A brief discussion on using the eye movements for assessing UML class diagram layouts is also presented.
Starting Page 21
Ending Page 22
Page Count 2
File Format PDF
ISBN 9781595938800
DOI 10.1145/1353673.1353678
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-11-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Empirical studies Eye tracking Assessment metrics
Content Type Text
Resource Type Article
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