Evolutional Insights from UML and Source Code Versions using Information Visualization and Visual Analysis

Bohner, Shawn A.; Gračanin, Denis; Henry, Tyson R.; Matković, Krešimir

doi:10.1109/vissof.2007.4290713

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The next technique moves from 2D to 3D space and uses the full capabilities of three dimensions. Examples are Angle (Churcher and Tech, 2003), Metaballs (Rilling and Mudur, 2005), and the 3D scatter plot in ComVis (Bohner et al, 2007).…”

Section: Full 3dmentioning

confidence: 99%

Past, Present, and Future of 3D Software Visualization - A Systematic Literature Analysis

Müller

Zeckzer

2015

Proceedings of the 6th International Conference on Information Visualization Theory and Applications

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The ongoing 2D vs. 3D research debate from information visualization also affects software visualization. There are many 2D, 3D, and combinations of 2D and 3D visualizations for software representing its structure, behavior, or evolution. This study contributes findings to this debate and presents the results of analyzing the applications of 3D in software visualization with the objectives to outline the state-of-the-art, to reveal trends, and to identify research gaps. The analysis combined a systematic mapping study to get an overview and a systematic literature review to gain deeper insights. The relevant papers were identified by three different search strategies (manual browsing, keyword, and backward search). Starting with a set of 4386 publications from the fields of information and software visualization 155 relevant papers dealing with 2D & 3D or 3D software visualizations were identified. These papers were analyzed according to dimensionality, aspect, year, evaluation method, and application of the third dimension. In a nutshell, the majority of 3D software visualizations represents the structural aspect, is either evaluated using case studies showing working examples or not evaluated at all, and applies a 2D layout using the third dimension for displaying software metrics.

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Section: Full 3dmentioning

confidence: 99%

Past, Present, and Future of 3D Software Visualization - A Systematic Literature Analysis

Müller

Zeckzer

2015

Proceedings of the 6th International Conference on Information Visualization Theory and Applications

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Visual Analytics in Software Maintenance: A Systematic Literature Review

Liu

Reddivari

2023

Proceedings of the 2023 ACM Southeast Conference

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Cognitive Foundations for Visual Analytics

Greitzer¹,

Noonan²,

Franklin³

2011

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SummaryDespite the growth of the visual analytics (VA) field, there has been limited systematic testing and evaluation to determine the effectiveness of VA solutions for improving knowledge discovery and decision making. The VA community acknowledges the need for a more scientific foundation to guide research on and evaluation of VA tools. A practical methodology and framework will not only inform the design of VA systems but also facilitate establishment of metrics to evaluate their effectiveness. This report describes the findings of a research project with the following scientific and operational objectives in support of the VA community: (a) Enhance understanding of the role of VA in knowledge discovery and insight; (b) Identify more rigorous scientific methods to evaluate effectiveness of VA tools; and (c) Inform design of deployable VA solutions based on this theoretical foundation.U.S. Department of Homeland Security end users do not merely want more displays and tools; they need operational/deployable solutions that enhance information processing and decision making. There is also a need for user testing methodologies and metrics to assess performance effectiveness of VA tools in operationally relevant contexts. To this end, the present research examined scientific literature in cognitive science, human factors, and related fields to identify concepts and research results that inform the application of VA technologies to meet operational challenges. By updating previous taxonomies for VA approaches and applications, we hope to provide a more comprehensive framework and benchmarks for this expanding field.In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions.The following conclusions and recommendations are provided for advancing the VA field and for continuing and expanding this research program in cognitive foundations for VA.Recommendations for future research:• More research is needed on sensemaking/problem solving and the analytic process to help align visualization technologies and representation techniques to user's mental models and thought processes.• Research is required to advance the science and engineering practices of VA tool evaluation.• Research is needed to develop more effective means of communicating the results of analyses to stakeholders (intuitive and natural ways of conveying findings as well as providing rationale and background information supporting the decisions and recommendations).• A more directed application of cognitive theories and results of empirical research on critical decisio...

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Evolutional Insights from UML and Source Code Versions using Information Visualization and Visual Analysis

Abstract: Abstract

Cited by 3 publications

References 8 publications

Past, Present, and Future of 3D Software Visualization - A Systematic Literature Analysis

Past, Present, and Future of 3D Software Visualization - A Systematic Literature Analysis

Visual Analytics in Software Maintenance: A Systematic Literature Review

Cognitive Foundations for Visual Analytics

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