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Full-Text Articles in Engineering
Exploring Eye Tracking Data On Source Code Via Dual Space Analysis, Li Zhang
Exploring Eye Tracking Data On Source Code Via Dual Space Analysis, Li Zhang
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Eye tracking is a frequently used technique to collect data capturing users' strategies and behaviors in processing information. Understanding how programmers navigate through a large number of classes and methods to find bugs is important to educators and practitioners in software engineering. However, the eye tracking data collected on realistic codebases is massive compared to traditional eye tracking data on one static page. The same content may appear in different areas on the screen with users scrolling in an Integrated Development Environment (IDE). Hierarchically structured content and fluid method position compose the two major challenges for visualization. We present a …
Deploying, Improving And Evaluating Edge Bundling Methods For Visualizing Large Graphs, Jieting Wu
Deploying, Improving And Evaluating Edge Bundling Methods For Visualizing Large Graphs, Jieting Wu
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
A tremendous increase in the scale of graphs has been witnessed in a wide range of fields, which demands efficient and effective visualization techniques to assist users in better understandings of large graphs. Conventional node-link diagrams are often used to visualize graphs, whereas excessive edge crossings can easily incur severe visual clutter in the node-link diagram of a large graph. Edge bundling can effectively remedy visual clutter and reveal high-level graph structures. Although significant efforts have been devoted to developing edge bundling, three challenging problems remain. First, edge bundling techniques are often computationally expensive and are not easy to deploy …
Visual Analytics For Large Communication Trace Data, Jieting Wu
Visual Analytics For Large Communication Trace Data, Jieting Wu
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Executions of modern parallel programs often yield complex communications among compute nodes of large-scale clusters of workstations or supercomputers. Analyzing communication patterns is becoming increasingly critical to performance optimiza- tion. As the scale and complexity of parallel applications drastically increases, visu- alization has become a feasible means to conduct analysis of massive communication patterns. However, most visualization tools fall short in showing comprehensive dy- namic communication graph and addressing the scalability issue. Our solution for analyzing dynamic communication patterns is based on an analytics framework cou- pled with a new visualization technique, named CommGram [29], that provides a flexible solution …