一种跟踪和理解异步体系结构的方法

18th IEEE International Conference on Automated Software Engineering, 2003. Proceedings. Pub Date : 2003-10-06 DOI:10.1109/ASE.2003.1240329

Scott A. Hendrickson, Eric M. Dashofy, R. Taylor

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引用次数: 3

摘要

采用强解耦、基于事件的交互风格构建的应用程序具有许多值得称赞的特性，包括易于动态配置、适应平台异构性以及易于通过网络进行分发。人工掌握此类应用程序的动态行为并不总是那么容易，因为许多线程是活动的，事件是异步(且大量)传输的。我们提出了一组辅助需求，通过确定组件之间发送的消息之间的因果关系的规则的增量细化，帮助人们理解和探索这些应用程序的行为。提出了一种原型工具，指出了一种满足这些要求的可行方法。使用该工具的经验加强了一些需求，并指出了其他需求。

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An approach for tracing and understanding asynchronous architectures

Applications built in a strongly decoupled, event-based interaction style have many commendable characteristics, including ease of dynamic configuration, accommodation of platform heterogeneity, and ease of distribution over a network. It is not always easy to humanly grasp the dynamic behavior of such applications, since many threads are active and events are asynchronously (and profusely) transmitted. We present a set of requirements for an aid to assist in the human understanding and exploration of the behavior of such applications through the incremental refinement of rules for determining causality relationships between messages sent among components. A prototype tool is presented, indicating one viable approach to meeting these requirements. Experience with the tool reinforces some of the requirements and indicates others.

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18th IEEE International Conference on Automated Software Engineering, 2003. Proceedings.

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