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Enterprise, Business-Process and Information Systems Modeling: 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 1213, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 344 pages, height x width: 235x155 mm, weight: 563 g, 64 Illustrations, color; 28 Illustrations, black and white; XXI, 344 p. 92 illus., 64 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Business Information Processing 479
  • Izdošanas datums: 31-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031342402
  • ISBN-13: 9783031342400
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Enterprise, Business-Process and Information Systems Modeling: 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 1213, 2023, Proceedings 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 344 pages, height x width: 235x155 mm, weight: 563 g, 64 Illustrations, color; 28 Illustrations, black and white; XXI, 344 p. 92 illus., 64 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Business Information Processing 479
  • Izdošanas datums: 31-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031342402
  • ISBN-13: 9783031342400
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031342400.html
Keywords:
This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling:





* the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023.





The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023.





For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews.





The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.
BPMDS 2023.- Just Tell Me: Prompt Engineering in Business Process
Management.- Reinforcement Learning-supported AB Testing of Business Process
Improvements: An Industry Perspective.- Modelling and Execution of
Data-Driven Processes with JSON-Nets.- Aligning object-centric event logs
with data-centric conceptual models.- From Network Traffic Data to a
business-level Event Log.- A Novel Decision Mining Method Considering
Multiple Model Paths.- Modeling, Executing and Monitoring IoT-Driven Business
Rules.- A Generic Approach towards Location-aware Business Process
Execution.- Time-aware Contract Model for Legal Smart Contracts.- Efficient
Computation of Behavioral Changes in Declarative Process Models Nicolai
Schützenmeier.- Beyond Temporal Dependency: An Ontology-Based Approach to
Modeling Causal Structures in Business Processes.- EMMSAD 2023.- Principles
of universal conceptual modeling.- Supporting Method Creation, Adaptation and
Execution with a Low-code Approach.- IAT/ML: A Domain-Specific Approach for
Discourse Analysis and Processing.- A First Validation of the Enterprise
Architecture Debts Concept.- Modeling heterogeneous IT infrastructures: a
collaborative component-oriented approach.- Exploring Capability Mapping as a
Tool for Digital Transformation: insights from a Case Study.- TEC-MAP: a
Taxonomy of Evaluation Criteria for Multi-Modeling Approaches.- Integrating
Physical, Digital, and Virtual Modeling Environments in a Collaborative
Design Thinking Tool.- Opportunities in Robotic Process Automation by and for
Model-Driven Software Engineering.- A Requirements-Driven Framework for
Automatic Data Visualization.- Comparing different visualizations for
feedback on test execution in a Model-Driven Engineering environment.-
Unblocking Inductive Miner - While Preserving Desirable Properties.