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The CONCEPT Project Applying Source Code Analysis to Reduce Information Complexity of Static and Dynamic Visualization Techniques

Juergen Rilling 1 Ahmed Seffah 1 Christophe Bouthier 2
1 CPSC - Department of Computer Science [Calgary]
2 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The goal of software visualization is to acquire sufficient knowledge about a software system by identifying program artifacts and understanding their relationships. Graphical representations have long been recognized as having an important impact in improving the comprehension of source code. In this paper, we present several visualization techniques that we combine with analytical source code analysis to reduce the amount and, therefore, the complexity of data that has to be displayed. In particular, we focus on static and dynamic program slicing and apply this source code analysis technique on treemaps, Hyperbolic trees, and UML based visualization techniques to support programmers in creating better mental models of the source code. We also introduce our CONCEPT prototype and describe how the presented approaches can be applied to reduce the information complexity for particular source code comprehension applications.
Keywords : visualisation de logiciel hyperbolic tree software visualization source code analysis treemap analyse de code source arbre hyperbolique
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Conference papers
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https://hal.inria.fr/inria-00100746
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Submitted on : Tuesday, September 26, 2006 - 2:50:13 PM
Last modification on : Friday, February 4, 2022 - 3:21:56 AM

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INRIA | CNRS | LORIA | UNIV-LORRAINE | INRIA2

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Juergen Rilling, Ahmed Seffah, Christophe Bouthier. The CONCEPT Project Applying Source Code Analysis to Reduce Information Complexity of Static and Dynamic Visualization Techniques. 1st International Workshop on Visualizing Software for Understanding and Analysis - VISSOFT'2002, IEEE, 2002, Paris, France, pp.90-99, ⟨10.1109/VISSOF.2002.1019798⟩. ⟨inria-00100746⟩

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