Enterprise, Business-Process and Information Systems Modeling, Kartoniert / Broschiert
Enterprise, Business-Process and Information Systems Modeling
- 26th International Conference, BPMDS 2025, and 30th International Conference, EMMSAD 2025, Vienna, Austria, June 16-17, 2025, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Renata Guizzardi, Luise Pufahl, Arnon Sturm, Han van der Aa
- Verlag:
- Springer, 06/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031953965
- Artikelnummer:
- 12323445
- Umfang:
- 484 Seiten
- Gewicht:
- 727 g
- Maße:
- 235 x 155 mm
- Stärke:
- 27 mm
- Erscheinungstermin:
- 14.6.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
.- Business Process Improvement. .- AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining. .- Identifying Process Improvement Opportunities through Process Execution Benchmarking. .- Interdependency-Aware Business Process Prioritization for Process Improvements. .- Human-AI Interplay in Exploring Process Representations. .- Human-AI Collaboration for Business Process Modeling with Petri Nets. .- Repairing Process Descriptions by Discovering Deviations from Process Models. .- Process Model Complexity Metrics, Cognitive Load and Visual Behavior: A Multi-Granular Eye-Tracking Analysis. .- Event Data Extraction. .- Which Tables are Mine(able)?. .- OCPM2: Extending the Process Mining Methodology for Object-Centric Event Data Extraction. .- Making the Case for Process Analytics: A Use Case in Court Proceedings. .- Probabilistic Approaches to Uncertainty and Prediction in Process Mining. .- Predicting Unseen Process Behavior Based on Log Injection. .- Toward IoT-based Process Analytics: Extending Event Knowledge Graphs with Ambiguity. .- Probabilistic Learning of Temporal Uncertainties in Business Processes. .- AI-Driven Modeling and Analysis. .- Assessing the Suitability of Large Language Models in Generating UML Class Diagrams as Conceptual Models. .- Exploring the Influence of Data Characteristics on Machine Learning Outcomes. .- Can an LLM Use Work System Axioms when Describing Work Systems for Requirements Analysis?. .- Security. .- Forensic Readiness and Privacy: Towards Resolving Software Goal Conflict. .- An ontological model of the phishing attack process. .- harborLang: Enhancing Maritime Operational Safety Through Cyber Threat Simulation and Assessment. .- Evaluation of Modeling Practices. .- Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education. .- Are Code and Design Models Similarly Effective in Understanding Software Structure and Behavior?. .- Towards a Maturity Assessment Framework for MBSE Adoption: Results from a Meta-Synthesis. .- Modeling of and within Organizations. .- Enhancing C2-Systems: Validation of Goal and Concept Models with Stakeholders. .- Supporting Collaborative Design by Diagram Briefs in the Early Stage of Innovation Projects. .- A Metamodel for Applying Green BPM Approaches with the EU Taxonomy. .- Experience Report: Applying a Capability Heat Map in a Government Organization. .- Domain Modeling. .- State of the Art and Research Directions for Visual Conceptual Modeling in Robotics. .- A Domain-specific Modeling Method for Designing Conversational Agents for Coaching: A Case from Health Coaching. .- Designing Decision Support Systems for Rural Mobility Enhancement.