Visualizing constituent behaviors within executions

Vijay Krishna Palepu, James A. Jones
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引用次数: 14

Abstract

In this New Ideas and Emerging Results paper, we present a novel visualization, THE BRAIN, that reveals clusters of source code that co-execute to produce behavioral features of the program throughout and within executions. We created a clustered visualization of source-code that is informed by dynamic control flow of multiple executions; each cluster represents commonly interacting logic that composes software features. In addition, we render individual executions atop the clustered multiple-execution visualization as user-controlled animations to reveal characteristics of specific executions-these animations may provide exemplars for the clustered features and provide chronology for those behavioral features, or they may reveal anomalous behaviors that do not fit with the overall operational profile of most executions. Both the clustered multiple-execution view and the animated individual-execution view provide insights for the constituent behaviors within executions that compose behaviors of whole executions. Inspired by neural imaging of human brains of people who were subjected to various external stimuli, we designed and implemented THE BRAIN to reveal program activity during execution. The result has revealed the principal behaviors of execution, and those behaviors were revealed to be (in some cases) cohesive, modular source-code structures and (in other cases) cross-cutting, emergent behaviors that involve multiple modules. In this paper, we describe THE BRAIN and envisage the uses to which it can be put, and we provide two example usage scenarios to demonstrate its utility.
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可视化执行中的组成行为
在这篇新想法和新兴结果的论文中,我们提出了一种新颖的可视化方法,即“大脑”,它揭示了共同执行的源代码集群,这些源代码集群在执行过程中和执行过程中产生了程序的行为特征。我们通过多次执行的动态控制流创建了源代码的集群可视化;每个集群表示组成软件特性的通用交互逻辑。此外,我们将单个执行呈现在集群多执行可视化之上,作为用户控制的动画来显示特定执行的特征——这些动画可能为集群特征提供范例,并为这些行为特征提供时间顺序,或者它们可能显示与大多数执行的总体操作轮廓不相符的异常行为。集群的多次执行视图和动画的单个执行视图都提供了对构成整个执行行为的执行中的组成行为的洞察。受到受到各种外部刺激的人的大脑神经成像的启发,我们设计并实现了THE BRAIN来揭示程序执行过程中的活动。结果揭示了执行的主要行为,这些行为被揭示为(在某些情况下)内聚的、模块化的源代码结构,以及(在其他情况下)涉及多个模块的横切的、紧急的行为。在本文中,我们描述了大脑,并设想了它的用途,我们提供了两个示例使用场景来演示它的实用性。
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