TranslatingSCCDtoDEVS/paper/00-Abstract.tex

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\chapter*{Abstract}
This master's thesis explores the translation of Statecharts and class diagrams (SCCD) models into the PyDEVS (Python-based Discrete Event System Specification) framework, investigating its implications and applications. 
SCCD, a language that combines the Statecharts language with Class Diagrams. It allows users to model complex, timed, autonomous, reactive, dynamic-structure systems. PyDEVS, on the other hand, provides a versatile platform 
for discrete event simulation. The primary objective of this research is to bridge the gap between these two simulation paradigms, facilitating the integration of SCCD models into the PyDEVS ecosystem. This translation 
enables the utilization of SCCD models within PyDEVS for simulation and analysis, thereby extending the reach of SCCD-based approaches to a broader audience of researchers and practitioners. The thesis first presents an 
in-depth analysis of SCCD and PyDEVS, highlighting their respective features, strengths, and weaknesses. Subsequently, it proposes a systematic methodology for translating SCCD models into PyDEVS specifications, addressing 
challenges such as semantic differences, modeling paradigms, and computational efficiency. To demonstrate the utility of this translation approach, the thesis showcases several case studies where SCCD models are successfully 
translated into PyDEVS and simulated using the PyDEVS framework. Furthermore, the thesis discusses the practical implications and benefits of integrating SCCD into PyDEVS, such as enhanced scalability, interoperability with 
existing simulation tools, and the ability to leverage PyDEVS's rich ecosystem of libraries and tools for simulation analysis. Overall, this research contributes to advancing the field of discrete event simulation by 
facilitating the seamless integration of SCCD models into the PyDEVS framework, opening up new avenues for research and applications in diverse domains requiring concurrent system modeling and analysis.