article · 2008

Combining Static and Dynamic Data in Code Visualization

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Abstract

The task of developing, tuning, and debugging compiler optimizations is a difficult one which can be facilitated by software visualization. There are many characteristics of the code which must be considered when studying the kinds of optimizations which can be performed. Both static data collected at compile-time and dynamic runtime data can reveal opportunities for optimization and affect code transformations. Visualization of such complex systems must include as much information as possible, and accommodate the different sources from which this information is acquired. This paper presents a visualization framework designed to address these issues. The framework is based on a new, extensible language called JIL which provides a common format for encapsulating intermediate representations and associating them with compile-time and runtime data. Custom visualization interfaces can then combine JIL data from separate tools, exposing both static and dynamic characteristics of the underlying code.

Cite this paper

APA 7

(2008). Combining Static and Dynamic Data in Code Visualization.

MLA 9

“Combining Static and Dynamic Data in Code Visualization.” 2008.

Chicago

2008. “Combining Static and Dynamic Data in Code Visualization.”

Harvard

(2008) ‘Combining Static and Dynamic Data in Code Visualization’.

BibTeX

@article{anon2008combining,
  title = {{Combining Static and Dynamic Data in Code Visualization}},
  year = {2008}
}

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