FSMs allow for a modular design, where each state represents a specific behavior or condition.
FSMs provide a simple and intuitive way to model complex systems by breaking them down into a set of states and transitions.
The visual representation of FSMs makes it easier for developers and stakeholders to comprehend and validate the system's behavior.
FSMs handle scalability well, particularly when adding new states or modifying existing ones.
FSMs are effective for managing error conditions. By including error states and transitions, developers can handle unexpected situations more easily
The modular nature of FSMs allows for straightforward unit testing. Each state and transition can be individually tested
FSMs promote maintainability by encapsulating the behavior of different states. This encapsulation simplifies modifications.
Once defined and implemented, an FSM can serve as a foundation for similar systems, saving development time and effort.
The transition from one state to another involves minimal computational overhead, making them suitable for systems with performance-critical requirements.
These advantages collectively contribute to the popularity and usefulness of the Finite State Machine design pattern in software development
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