Modelling Foundations and Applications: Lecture Notes in Computer Science, cartea 9764
Editat de Andrzej W¿sowski, Henrik Lönnen Limba Engleză Paperback – 23 iun 2016
The 16 papers presented in this volume were carefully reviewed and selected from 47 submissions. The committee decided to accept 16 papers, 12 papers for the Foundations Track and 4 papers for the Applications Track. Papers on a wide range of MBE aspects were accepted, including topics such as multi- and many models, language engineering, UML and meta-modeling, experience reports and case studies, and variability and uncertainty.
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Specificații
ISBN-13: 9783319420608
ISBN-10: 3319420607
Pagini: 284
Ilustrații: XVIII, 265 p. 123 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319420607
Pagini: 284
Ilustrații: XVIII, 265 p. 123 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Hierarchical Clustering of Metamodels for Comparative Analysis and Visualization.- Advanced Local Checking of Global Consistency in Heterogeneous Multimodeling.- Supporting the Linked Data Approach to Maintain Coherence across Rich EMF Models.- Stress-Testing Centralised Model Stores.- Compositional Language Engineering Using Generated, Extensible, Static Type-Safe Visitors.- Demystifying Ontological Classification in Language Engineering.- Example-based Generation of Graphical Modelling Environments.- UML and Meta-modeling Associations in MDE: A Concern-Oriented, Reusable Solution.- Automated Metamodel/Model Co-Evolution Using a Multi-Objective Optimization Approach.- Enabling OCL and fUML Integration by Transformation.- Isolating and Reusing Template Instances in UML.- Experience Reports and Case Studies MBF4CR: A Model-Based Framework for Supporting An Automated Cancer Registry System.- Metamodeling vs Metaprogramming: A Case Study on Developing Client Libraries for REST APIs.- Experiences with Model-driven Engineering in Neurorobotics.- Supporting Variability Exploration and Resolution during Model Migration 208.- Understanding Uncertainty in Cyber-Physical Systems: A Conceptual Model.
Caracteristici
Includes supplementary material: sn.pub/extras