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HoseinDoost, Samaneh, Fatemi, Afsaneh, Zamani, Bahman. (1397). Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 5(1), 35-49. doi: 10.22108/jcs.2018.112297.1008
Samaneh HoseinDoost; Afsaneh Fatemi; Bahman Zamani. "Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments". سامانه مدیریت نشریات علمی دانشگاه اصفهان, 5, 1, 1397, 35-49. doi: 10.22108/jcs.2018.112297.1008
HoseinDoost, Samaneh, Fatemi, Afsaneh, Zamani, Bahman. (1397). 'Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments', سامانه مدیریت نشریات علمی دانشگاه اصفهان, 5(1), pp. 35-49. doi: 10.22108/jcs.2018.112297.1008
HoseinDoost, Samaneh, Fatemi, Afsaneh, Zamani, Bahman. Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 1397; 5(1): 35-49. doi: 10.22108/jcs.2018.112297.1008

Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments

Journal of Computing and Security
مقاله 4، دوره 5، شماره 1، فروردین 2018، صفحه 35-49    اصل مقاله (2.54 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22108/jcs.2018.112297.1008
نویسندگان
Samaneh HoseinDoost؛ Afsaneh Fatemi* ؛ Bahman Zamani
MDSE Research Group, Department of Software Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran
چکیده
Due to the increasing occurrence of unexpected events and the need for pre-crisis planning to reduce risks and losses, modeling emergency response environments (ERE) is needed more than ever. Modeling may lead to more careful planning for crisis-response operations, such as team formation, task assignment, and doing the task by teams. ERE-ML is a model-driven framework which allows a crisis manager to model an ERE, and to automatically generate the executable code of a multi-agent system (MAS) for that environment. However, the application generated by ERE-ML lacks the capability of supporting interactions among the agents and the organizations involved in the crisis management. In this paper, we propose ERE-ML 2.0 as an upgrade of the previous framework. The ERE-ML 2.0 framework supports the interactions by adding new features to the ERE-ML language, modifying the transformation code, and extending the platform. To evaluate the upgraded framework, the Plasco Tower Collapse incident is modeled, and then the model is transformed into the executable code of a MAS to visualize the run-time scenarios.
کلیدواژه‌ها
ERE-ML 2.0؛ Model-Driven Framework؛ Multi-Agent Systems؛ Interactive Systems؛ Emergency Response Environments؛ Model Driven Development
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