Titlebook: Business Process Management Forum; BPM 2024 Forum, Krak Andrea Marrella,Manuel Resinas,Michael Rosemann Conference proceedings 2024 The Edi

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书目名称Business Process Management Forum被引频次学科排名




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书目名称Business Process Management Forum读者反馈学科排名

Ceremony

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Object-Centric Event Logs: Characteristics, Comparative Analysis and Road Mapby considering multiple objects interacting with each other in a process. This object-centric approach offers advantages over traditional methods by avoiding dimension reduction issues. However, in contrast to traditional process mining where a standard event log format was quickly agreed upon with

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Explainable DMN complexity of DMN models can otherwise quickly make it unfeasible for companies to understand and maintain their decision logic. To this aim, we present a formal approach for measuring the . of decision inputs on the decision output. In particular, we show how the decision logic of a DMN model can

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NL2ProcessOps: Towards LLM-Guided Code Generation for Process Executionnt. This paper presents NL2ProcessOps, a novel approach leveraging Large Language Models (LLMs) and concepts such as Retrieval Augmented Generation (RAG), agents, and tools for code generation to streamline process deployment operations. The proposed approach is designed to work with textual process

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CMMN-Based Modeling and Customization of Declarative Business Process Familiesn be expressed using concrete modeling languages and then customized at design time into a specific process variant to enact according to particular configuration requirements. Most process family modeling proposals focus on imperative processes, such as extensions of the Business Process Model and

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Interactive Drift Visualization in Sensor Data Streams for Explainable Process Outcome Predictiondrifts, e.g., the quality of a product can be affected by the temperature during the production process. In particular, drifts can explain variations in the process outcome, and hence, their early detection can support the definition of mitigation actions, e.g., canceling the production of probably