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Применение математических методов для оценки критичности дефектов в смарт-контрактах
The paper considers the problem of assessing the criticality of defects in smart contracts, defines the constituent parameters of criticality of defects and substantiates their representation in the form of LR-type fuzzy numbers. An approach based on the use of LR-type fuzzy numbers and nonlinear optimization methods is proposed to assess the criticality of defects in smart contracts functioning in Ethereum-based blockchain systems. The proposed approach is validated based on the most critical and frequently occurring defects in smart contracts operating in Ethereum-based blockchain systems. The results of the study allow smart contract developers to determine the criticality of the detected defects and take appropriate measures to improve the sustainability of smart contracts.