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Backed by substantive case studies, the novel approach to software engineering for distributed simulation outlined in this text demonstrates the potent synergies between model-driven techniques, simulation, intelligent agents, and computer systems development.

This invaluable textbook/reference provides a hands-on guide to the application of good software development practices to the construction of distributed simulation systems, with a particular focus on High Level Architecture (HLA).

This uniquetext/reference provides a comprehensive review of distributed simulation (DS)from the perspective of Model Driven Engineering (MDE), illustrating how MDEaffects the overall lifecycle of the simulation development process. Numerouspractical case studies are included to demonstrate the utility andapplicability of the methodology, many of which are developed from toolsavailable to download from the public domain.Topics and features:Provides a thorough introduction to the fundamentalconcepts, principles and processes of modeling and simulation, MDE andhigh-level architectureDescribes a road map for building a DS system inaccordance with the MDE perspective, and a technical framework for thedevelopment of conceptual modelsPresents a focus on federate (simulation environment)architectures, detailing a practical approach to the design of federations(i.e., simulation member design)Discusses the main activities related to scenariomanagement in DS, and explores the process of MDE-based implementation,integration and testing Reviews approaches to simulation evolution andmodernization, including architecture-driven modernization for simulationmodernizationExamines the potential synergies between the agent, DS,and MDE methodologies, suggesting avenues for future research at theintersection of these three fieldsDistributed Simulation –A Model Driven Engineering Approach is an important resource for allresearchers and practitioners involved in modeling and simulation, and softwareengineering, who may be interested in adopting MDE principles when developingcomplex DS systems.