Titlebook: Business Process Management; 12th International C Shazia Sadiq,Pnina Soffer,Hagen V?lzer Conference proceedings 2014 Springer International

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Mill.: Wound Healing Properties,ity constraints, or compliance rules. At the same time, formal methods allow for a detection of errors in the early modeling phase. Detected errors are usually explained with a path from the initial to the error state. These paths can grow unmanageably and make the understanding and fixing of errors

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Cheryl Lans,Tedje van Asseldonkariety of components and electronic devices in modern vehicles. To achieve error-free processes, their formal analysis is required. Specifying and maintaining properties the processes must satisfy in a user-friendly way is a core requirement on any verification system. We have observed that there ar

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Conference proceedings 2014er 2014. The 21 regular papers and 10 short papers included in this volume were carefully reviewed and selected from 123 submissions. The papers are organized in 9 topical sections on declarative processes, user-centered process approaches, process discovery, integrative BPM, resource and time manag

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Implicit BPM: A Business Process Platform for Transparent Workflow Weavingational applications. This concept relies on BPM standards, Aspect Oriented Programming, and Web patterns to transparently weave business models among current web applications. A prototype platform is presented, which includes our design of a distributed architecture, and a natural and expressive DSL.

冥界三河

Temporal Anomaly Detection in Business Processeshe runtime of activities within a process. To detect such anomalies, we propose a Bayesian model that can be automatically inferred form the Petri net representation of a business process. Probabilistic inference on the above model allows the detection of non-obvious and interdependent temporal anomalies.

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Where Did I Go Wrong? very time consuming. This paper addresses this issue and proposes a novel explanation of errors: Instead of listing the actions on the path to the error, only the decisions that lead to it are reported and highlighted in the original model. Furthermore, we exploit concurrency to create a compact artifact to explain errors.

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