Vasco:一种在框架密集型应用程序中探索对象混乱的可视化方法

Fleur Duseau, Bruno Dufour, H. Sahraoui
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引用次数: 5

摘要

膨胀,特别是对象混乱,是框架密集型应用程序中常见的性能问题。对象混乱包括对临时对象的过度使用。识别和理解客户流失的来源是一项困难和劳动密集型的任务,尽管自动化分析技术最近取得了进展。我们提出了一种交互式可视化方法,旨在帮助开发人员快速直观地探索他们的应用程序在对象流失方面的行为。我们已经在Vasco中实现了这种技术,Vasco是一个新的灵活的、可扩展的可视化平台。Vasco的设计是为了最大限度地减少可视化任务所需的认知努力。我们通过将我们的方法应用于三个框架密集型应用程序并识别商业系统中以前未报告的流失来证明我们的方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vasco: A visual approach to explore object churn in framework-intensive applications
Bloat, and particularly object churn, is a common performance problem in framework-intensive applications. Object churn consists of an excessive use of temporary objects. Identifying and understanding sources of churn is a difficult and labor-intensive task, despite recent advances in automated analysis techniques. We present an interactive visualization approach designed to help developers quickly and intuitively explore the behavior of their application with respect to object churn. We have implemented this technique in Vasco, a new flexible and scalable visualization platform. Vasco is designed to minimize the cognitive effort required for the visualization task. We demonstrate the effectiveness of our approach by applying it to three framework-intensive applications and identifying previously unreported churn in a commercial system.
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