Akıllı sistemler ve uygulamaları dergisi

Event-driven low-code orchestration platforms have become central to modern enterprise application development, enabling rapid workflow automation through asynchronous execution models. However, the reliance on loosely coupled event processing introduces challenges in maintaining state consistency, particularly under high concurrency and distributed execution conditions. Existing approaches largely depend on eventual consistency, which often fails to guarantee correctness in workflows with strict state dependencies. This study presents a structured framework for enforcing state consistency in event-driven low-code systems by integrating formal state transition modeling, event sequencing mechanisms, constraint-based validation, and conflict resolution strategies. The proposed approach is evaluated using metrics such as state divergence rate, consistency violation frequency, and recovery latency across varying workload conditions. Results demonstrate a significant reduction in state inconsistencies and improved recovery efficiency compared to baseline models, while maintaining acceptable system overhead. The findings highlight the importance of embedding consistency guarantees within orchestration engines to ensure reliable and predictable workflow execution. This work provides a foundation for advancing consistency-aware low-code platforms and supports future developments in adaptive and real-time orchestration systems.