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.