Before revision:  They can accurately measure and predict inconsistencies generated by fault-correction and fault-tolerance when each node in a network can monitor the health status of another node, while both can defect. In contrast to related work, no information about the computational/application scenario, overlying algorithms or application data is required .
After revision:  They can accurately measure and predict inconsistencies generated by the undesirable outcomes of fault correction and fault tolerance as the means to improve self-healing of large-scale decentralized systems at the design phase .