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Stasko, j., Understanding and characterizing program visualisation systems. Technical Report GIT-GVU-91-17, Georgia Institute of Technology, 1993.

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A Toolkit for the Visualisation of CORBA Applications - Miller (2000)   (Correct)

....et al. Taxonomy will be used as a framework within which the visualization toolkit developed as part of this project will be defined. For completeness sake it must be mentioned that other taxonomies exist, again using a different set of classifications. One such taxonomy is by Stasko and Patterson [10], which introduces scaled dimensions into a four category taxonomy. These categories cover aspect, abstractness, animation and automation. 2.2 Visualisation Systems A large number of visualisation systems have been developed, with the late eighties and early nineties a particularly productive ....

Stasko, j., Understanding and characterizing program visualisation systems. Technical Report GIT-GVU-91-17, Georgia Institute of Technology, 1993.


The Design of Effective Software Visualizations for Persistent.. - Lavery (1994)   (Correct)

....and object filter phases of the Iconographer model (figure 2.11) The content describes what aspect is being modelled, for example data, code or algorithm. However, the more abstract the content, such as algorithms, the less automation can be achieved this point has also been made by [BRO88] and [STA91]. Form corresponds to the mapping and rendering phases of Dyer s model and to the icon generator, compositor and picture adaptor of Iconographer. The method aspect applies to all phases, whilst the interaction is the feedback from interpretation to any stage of the visualization. Effectiveness is ....

....states of the arrays so trends can be determined . Transformation Incremental transformations show a smooth transition between state changes whereas discrete do not. A discrete transformation is considered to be incremental when the change is too small to be noticed. Stasko and Patterson [STA91] uses some of these in their taxonomy of software visualization systems which is split into four dimensions, each of which is measured subjectively as low, medium or high : aspect This dimension describes what is being visualized, for example static code, data structures, run time aspects of ....

Stasko, J.T. and Patterson, C. (1991). Understanding and Characterizing Program Visualization Systems (no. GIT-GVU-91-17), GeorgiaInstitute of Technology.


Assessing Program Visualization Systems as Instructional.. - Badre, Beranek, Morris.. (1991)   (10 citations)  Self-citation (Stasko)   (Correct)

....a convenient, hopefully) understandable visual format or metaphor. Program visualization systems range from showing programs at a low level of detail, such as showing data structure manipulations, to showing programs at a more global level, such as showing the program s purpose and methodologies[SP91]. Systems presenting a more global, high level abstract view are called algorithm visualization systems. Often, these systems present a continuous, smooth view of a program during its execution, this earning the name algorithm animation. Over the past ten years, a number of algorithm ....

John T. Stasko and Charles Patterson. Understanding and characterizing program visualization systems. Technical Report GIT-GVU-91/17, Graphics, Visualization, and Usability Center, Georgia Institute of Technology, Atlanta, GA, September 1991.

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