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Enterprise and Organizational Modeling and Simulation, 1st ed. 2018 14th International Workshop, EOMAS 2018, Held at CAiSE 2018, Tallinn, Estonia, June 11-12, 2018, Selected Papers Lecture Notes in Business Information Processing Series, Vol. 332

Langue : Anglais

Coordonnateurs : Pergl Robert, Babkin Eduard, Lock Russell, Malyzhenkov Pavel, Merunka Vojtěch

Couverture de l’ouvrage Enterprise and Organizational Modeling and Simulation
This book constitutes the refereed proceedings of the 14th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2018, held in Tallinn, Estonia, in June 2018.

The main focus of EOMAS is on the role, importance, and application of modeling and simulation within the extended organizational and enterprise context. The 11 full papers presented in this volume were carefully reviewed and selected from 22 submissions. They were organized in topical sections on conceptual modeling, enterprise engineering, and formal methods.

Conceptual Modelling.-Enterprise Ontology-Driven Development.- Requirements Engineering for Model-Based Enterprise Architecture Management with ArchiMate.- Towards OntoUML for Software Engineering: Optimizing Kinds and Subkinds Transformed into Relational Databases.- Enterprise Engineering.- An improved way for measuring simplicity during process discovery.- IT-Business Alignment Problem Solution by Means of Zachman Model: Case of Woodworking Enterprise.- The simplified enterprise architecture management methodology for teaching purposes.- Toward Development Tools for Augmented Reality Applications - a Practitioner Perspective.- Formal Methods.- Enhanced Benchmark Datasets for a Comprehensive Evaluation of Process Model Matching Techniques.- Investigating the applicability of the Normalized Systems Theory on IT infrastructure systems.- The DEMO Co-Creation and Co-Production Model and its Utilization.- The Intellectual Dimension of IT-Business Alignment Problem: Alloy Application.- Invited Workshop Notes.- Methods for evaluating the quality of process modelling tools.

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