ASPEN: A Microsimulation Model of the Economy
Computational Economics - Special issue on numerical methods in economics and finance
National infrastructure as complex interactive networks
Automation, control and complexity
UML Distilled: A Brief Guide to the Standard Object Modeling Language
UML Distilled: A Brief Guide to the Standard Object Modeling Language
The Object Constraint Language: Getting Your Models Ready for MDA
The Object Constraint Language: Getting Your Models Ready for MDA
Model-Driven Development: A Metamodeling Foundation
IEEE Software
The Pragmatics of Model-Driven Development
IEEE Software
Modeling and Simulating Critical Infrastructures and Their Interdependencies
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2 - Volume 2
Towards an MDA-oriented UML profile for critical infrastructure modeling
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Astrolabe: a collaborative multiperspective goal-oriented risk analysis methodology
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
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The study of critical infrastructure systems organization and behavior has drawn great attention in the recent years. This is in part due to their great influence on the ordinary life of every citizen. In this paper, we study critical infrastructures' characteristics and propose a reference model based on the Unified Modeling Language (UML). This reference model attempts to provide suitable means for the task of modeling an infrastructure system through offering five major metamodels. We introduce each of these metamodels and explain how it is possible to integrate them into a unique representation to characterize various aspects of an infrastructure system. Based on the metamodels of UML-CI, infrastructure system knowledge bases can be built to aid the process of infrastructure system modeling, profiling, and management.