Approach to Assessing the Level of Criticality of a Defect on a Smart Contract

The article deals with the use of LR-type fuzzy number methods for processing uncertain and fuzzy data on the parameters of criticality of a defect in a smart contract estimated using the direct expert assessment method. To assess the final defect criticality level of a smart contract, it is proposed to use a nonlinear optimization method including gradient descent method to formulate the problem as an optimization problem where the objective is to maximize the objective function (or fitness function) that reflects the defect criticality. The results of the study will enable smart contract designers to more accurately determine the criticality of the detected defects and take effective corrective measures to ensure the sustainability of the smart contract.