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model-driven engineering

در نشریات گروه برق
تکرار جستجوی کلیدواژه model-driven engineering در نشریات گروه فنی و مهندسی
تکرار جستجوی کلیدواژه model-driven engineering در مقالات مجلات علمی
  • Navid Shirmohammadi, Behrouz Tork Ladani *
    As cyber threats grow increasingly sophisticated, the importance of security training as an effective means of prevention will become even more critical. Cyber Range (CR) is a platform for creating cyber training programs using virtualization and simulation technologies to create a realistic training environment. The main challenge for utilizing a CR is the specialized human resources required to design and maintain training sessions. To tackle this challenge, several high-level languages, known as Scenario Description Languages (SDLs), have been developed to enable the specification of training environments as models. These models can then be automatically transformed into deployment artifacts. Our studies showed that the existing SDLs could not address requirements when designing complex scenarios where multiple trainees should collaborate to reach a desired goal through various acceptable solutions. We present the Collaborative Security Training SDL (CST-SDL) for creating multi-trainee and multi-solution scenarios. CST-SDL uses an acyclic directional graph for specifying the scenario's solution routes and allows defining trainees with unique tasks, goals, and solution routes during the training session. To evaluate the CST-SDL's capabilities, we have implemented and integrated it into the KYPO cyber range.
    Keywords: Cyber Range, Cybersecurity, Training, Model-Driven Engineering, Scenario Description Language
  • Muhammad Ali Memon *, Zaira Hassan, Kamran Dahri, Asadullah Shaikh, Muhammad Ali Nizamani
    With the emerging concept of model transformation, information can be extracted from one or more source models to produce the target models. The conversion of these models can be done automatically with specific transformation languages. This conversion requires mapping between both models with the help of dynamic hash tables. Hash tables store reference links between the elements of the source and target model. Whenever there is a need to access the target element, we query the hash table. In contrast, this paper presents an approach by directly creating aspects in the source meta-model with traces. These traces hold references to target elements during the execution. Illustrating the idea of model driven engineering (MDE), This paper proposes a method that transforms UML class models to EMF ECORE model.
    Keywords: Model-driven engineering, Unified Modeling Language, Kermeta, EMF ECORE, Model transformation
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