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Execution Trace Analysis Through Massive Sequence And Circular Bundle Views

机译:通过大规模序列和圆形捆绑视图执行迹线分析

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摘要

An important part of many software maintenance tasks is to gain a sufficient level of understanding of the system at hand. The use of dynamic information to aid in this software understanding process is a common practice nowadays. A major issue in this context is scalability: due to the vast amounts of information, it is a very difficult task to successfully navigate through the dynamic data contained in execution traces without getting lost. In this paper, we propose the use of two novel trace visualization techniques based on the massive sequence and circular bundle view, which both reflect a strong emphasis on scalability. These techniques have been implemented in a tool called Extravis. By means of distinct usage scenarios that were conducted on three different software systems, we show how our approach is applicable in three typical program comprehension tasks: trace exploration, feature location, and top-down analysis with domain knowledge.
机译:许多软件维护任务的重要组成部分是对手头的系统有足够的了解。如今,使用动态信息来帮助此软件理解过程是一种常见的做法。在这种情况下,一个主要问题是可伸缩性:由于信息量巨大,要成功浏览执行跟踪中包含的动态数据而不丢失它是一项非常困难的任务。在本文中,我们建议使用基于大规模序列和圆形束视图的两种新颖的轨迹可视化技术,这两种技术都反映出对可伸缩性的高度重视。这些技术已在称为Extravis的工具中实现。通过在三个不同的软件系统上进行的不同使用场景,我们展示了我们的方法如何适用于三个典型的程序理解任务:跟踪探索,特征定位以及具有领域知识的自上而下的分析。

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