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Model Checking is widely applied in various domains such as telecommunications, automotive, aerospace, and medical devices, where system reliability and safety are paramount. In these industries, where failures can result in catastrophic consequences, the methodology can be employed during different phases of project development, including the design and verification stages, to ensure that specifications are met without ambiguity. Participants in this process typically include software engineers, hardware designers, and verification engineers who collaborate to define the properties that the system must satisfy. Examples include verifying communication protocols in network systems, ensuring that algorithms for automated vehicles adhere to safety constraints, or checking معالجة الإشارات systems for correctness in safety-critical applications. The automated nature of Model Checking allows it to explore a comprehensive state space, identifying corner cases and edge situations that manual testing might overlook, thereby enhancing the reliability of the system. Tools such as Spin, NuSMV, and PRISM are specifically designed for these purposes, providing interfaces for model description and property specification, making them accessible to technical teams across different domains for effective verification. The adoption of Model Checking not only improves the assurance of system correctness but also reduces time-to-market by catching defects early in the development cycle.