3D representations for software visualization

Marcus, Andrian; Liu, Feng; Maletic, Jonathan I.

doi:10.1145/774833.774837

Cited by 95 publications

(42 citation statements)

References 16 publications

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“…An excellent overview of software visualization is given by Diehl [23]. Wellknown software visualization systems include Rigi [24], VCG [25], aiSee [26], Mondrian [27], and sv3D [28] (for structure and metrics); and CodeCity [29,30] and SeeSoft [31] (for software evolution).…”

Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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Software visual analytics (SVA) tools combine static program analysis and fact extraction with information visualization to support program comprehension. However, building efficient and effective SVA tools is highly challenging, as it involves extensive software development in program analysis, graphics, information visualization, and interaction. We present a SVA toolset for software maintenance, and detail two of its components which target software structure, metrics and code duplication. We illustrate the toolset's usage for constructing software visualizations with examples in education, research, and industrial contexts. We discuss the design evolution from research prototypes to integrated, scalable, and easy-to-use products, and present several guidelines for the development of efficient and effective SVA solutions.

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Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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“…Later, Ball and Eick [3] focused on the visualization of different source code evolution statistics such as code version history, difference between releases, static properties of code, code profiling and execution hot spots, and program slices. Marcus et al [41] extended the visualization techniques of SeeSoft by exploiting the third dimension in a tool called sv3D.…”

Section: The Bottom Linementioning

confidence: 99%

On porting software visualization tools to the web

D’Ambros

Lanza

Lungu

et al. 2010

Int J Softw Tools Technol Transfer

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“…Source Viewer 3D [6] is a tool that uses a 3D representation to visualize source code. It is a further development of the SeeSoft [3] metaphor.…”

Section: Related Workmentioning

confidence: 99%

A Tool for Visual Understanding of Source Code Dependencies

Pinzger

Grafenhain

Knab

et al. 2008

2008 16th IEEE International Conference on Program Comprehension

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Many program comprehension tools use graphs to visualize and analyze source code. The main issue is that existing approaches create graphs overloaded with too much information. Graphs contain hundreds of nodes and even more edges that cross each other. Understanding these graphs and using them for a given program comprehension task is tedious, and in the worst case developers stop using the tools. In this paper we present DA4Java, a graphbased approach for visualizing and analyzing static dependencies between Java source code entities. The main contribution of DA4Java is a set of features to incrementally compose graphs and remove irrelevant nodes and edges from graphs. This leads to graphs that contain significantly fewer nodes and edges and need less effort to understand. A Tool for Visual Understanding of Source Code DependenciesMartin Pinzger, Katja Gräfenhain, Patrick Knab, and Harald C. Gall Department of Informatics, University of Zurich, Switzerland {pinzger,graefenhain,knab,gall}@ifi.uzh.ch AbstractMany program comprehension tools use graphs to visualize and analyze source code. The main issue is that existing approaches create graphs overloaded with too much information. Graphs contain hundreds of nodes and even more edges that cross each other. Understanding these graphs and using them for a given program comprehension task is tedious, and in the worst case developers stop using the tools. In this paper we present DA4Java, a graphbased approach for visualizing and analyzing static dependencies between Java source code entities. The main contribution of DA4Java is a set of features to incrementally compose graphs and remove irrelevant nodes and edges from graphs. This leads to graphs that contain significantly fewer nodes and edges and need less effort to understand.

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3D representations for software visualization

Cited by 95 publications

References 16 publications

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

On porting software visualization tools to the web

A Tool for Visual Understanding of Source Code Dependencies

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