AspectMaps: A Scalable Visualization of Join Point Shadows

J. Fabry, Andy Kellens, Stéphane Ducasse
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引用次数: 26

Abstract

When using Aspect-Oriented Programming, it is sometimes difficult to determine at which join point an aspect executes. Similarly, when considering one join point, knowing which aspects will execute there and in what order is non-trivial. This makes it difficult to understand how the application will behave. A number of visualizations have been proposed that attempt to provide support for such program understanding. However, they neither scale up to large code bases nor scale down to understanding what happens at a single join point. In this paper, we present Aspect Maps -- a visualization that scales in both directions, thanks to a multi-level selective structural zoom. We show how the use of Aspect Maps allows for program understanding of code with aspects, revealing both a wealth of information of what can happen at one particular join point as well as allowing to see the "big picture" on a larger code base. We demonstrate the usefulness of Aspect Maps on an example and present the results of a small user study that shows that Aspect Maps outperforms other aspect visualization tools.
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AspectMaps:一个可伸缩的连接点阴影可视化
在使用面向方面编程时,有时很难确定在哪个连接点执行方面。类似地,在考虑一个连接点时,知道哪些方面将在那里执行以及以什么顺序执行是非常重要的。这使得理解应用程序的行为变得困难。已经提出了许多可视化方法,试图为这样的程序理解提供支持。然而,它们既不能扩展到大型代码库,也不能缩小到理解单个连接点上发生的事情。在本文中,我们介绍了Aspect Maps——一个在两个方向上缩放的可视化,这要归功于多级选择结构缩放。我们展示了Aspect Maps的使用如何允许程序理解带有Aspect的代码,揭示了在一个特定连接点上可能发生的事情的大量信息,以及允许在更大的代码库上查看“大局”。我们在一个示例中展示了Aspect Maps的有用性,并展示了一个小型用户研究的结果,该结果表明Aspect Maps优于其他方面可视化工具。
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