When architecting dependable systems, in addition to improving system dependability by means of construction (fault-tolerant and redundant mechanisms, for instance), it is also important to evaluate, and thereby confirm, system dependability.
We evaluate system dependability for given two models.
Control measures are discussed using design patterns as an approach to achieve system dependability.
In other words, simplicity is to be maximised to enhance system dependability and predictability of system behaviour.
In this paper, we propose a fault avoidance scheme which increases system dependability by avoiding common faults on remaining nodes when parts of nodes fail, and analyze the system dependability.
Thus some level of intelligence must be embedded into each agent's controller to ensure higher degree of system dependability.
It is designed to meet very stringent requirements in terms of safety, availability and reliability that characterized the system dependability.
Laws are restrictions imposed by a control mechanism to deal with uncertainty and to promote open system dependability.
Use of the framework enables reasoning about system dependability already at an early stage of system development, and to customise fault-tolerance strategies according to application characteristies.
There are many different approaches for evaluating system dependability, and testing has been always an important one, being fault removal one of the means to achieve dependable systems.
