作者: Stefano Bocconi , Claudia Picardi , Xavier Pucel , Daniele Theseider Dupré , Louise Travé-Massuyès
DOI: 10.1007/978-3-540-74782-6_4
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摘要: In this paper we deal with the problem of model-based diagnosability analysis for Web Services. The goal is to determine whether information one can observe during service execution sufficient precisely locate (by means diagnostic reasoning) source problem. major difficulty in context Services that models are distributed and no single entity has a global view complete model. propose an approach computes decentralized framework, described [1], based on Supervisor coordinating several Local Diagnosers. We also show be performed without requiring Diagnosers different operations than those needed diagnosis. proposed incremental: each fault first analyzed independently occurrence other faults, then results used analyze combinations behavioral modes, avoiding most cases exhaustive check all combinations.