This analysis presents a new method for identifying design inconsistencies in smart contracts, suggesting improved reliability.
The reliability and security of Smart Contracts largely depend on the consistency of their rule design. This paper introduces a novel approach for analyzing and ensuring consistency in Smart Contracts prior to their implementation. By proposing a formal grammar that captures the concurrent primitives inherent in Smart Contracts, and an algorithm that generates finite state machines (FSMs) from these grammar-based rule sets, the study enables the identification of several problems at the design stage. The paper compares this methodology with related works that focus on post-implementation verification, highlighting the advantages of early-stage analysis. Through theoretical and real-world examples, including an analysis of the DAO attack, the paper demonstrates how inconsistencies can be detected systematically. Finally, a formal definition of consistency is presented, offering a foundation for future tools aimed at enhancing Smart Contract designs.
No takes yet. Share an insight, caveat, or question.
Dávila et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: