Impact analysis for distributed event-based systems
Impact analysis for distributed event-based systems
复制标题
基于事件的分布式系统的影响分析
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
N. Medvidović
中科院分区：
文献类型：
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作者：
D. Popescu;Joshua Garcia;K. Bierhoff;N. Medvidović
基于分布式事件的（DEB）系统包含高度耦合的组件，通过通过隐式调用来交换消息，从而允许灵活的系统组成和适应。同时，这些固有的理想属性使DEB系统更难以理解和发展，因为在没有明确的依赖信息的情况下，工程师必须假设系统中的任何组件都可以与，因此可能与，因此可以依赖，从而依赖，因此任何其他组件。在传统的，基于调用的系统中成功使用的软件分析技术在该域中几乎没有用。为了帮助DEB系统变化的可理解性和评估的影响，我们提出了Helios，这是一种结合组件级别（1）控制流和（2）基于状态的依赖性分析与系统级别的技术（ 3）结构分析为系统产生完整而准确的消息依赖图。我们已将HELIOS应用于在四个不同的面向消息的中间件平台之上构建的应用程序。我们总结了几个此类应用程序的结果。我们证明，Helios可以实现有效的影响分析，并量化其对现有替代方案的改进。
Distributed event-based (DEB) systems contain highly-decoupled components that interact by exchanging messages via implicit invocation, thus allowing flexible system composition and adaptation. At the same time, these inherently desirable properties render a DEB system more difficult to understand and evolve since, in the absence of explicit dependency information, an engineer has to assume that any component in the system may potentially interact with, and thus depend on, any other component. Software analysis techniques that have been used successfully in traditional, explicit invocation-based systems are of little use in this domain. In order to aid the understandability of, and assess the impact of changes in, DEB systems, we propose Helios, a technique that combines component-level (1) control-flow and (2) state-based dependency analysis with system-level (3) structural analysis to produce a complete and accurate message dependence graph for a system. We have applied Helios to applications constructed on top of four different message-oriented middleware platforms. We summarize the results of several such applications. We demonstrate that Helios enables effective impact analysis and quantify its improvements over existing alternatives.