By Dan Lawesson.
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Extra resources for An approach to diagnosability analysis for interacting finite state systems
1: The state transition relation of the bus component. The relation → is partitioned in two disjoint subsets −− ∪−− . The set −− is the set of optional transitions and −− is a set of non-optional transitions. We make a clear distinction between transitions that model a possible behavior (the optional transitions, where for example critical events such as faults are included) and transitions that express a necessary behavior (the non-optional transitions including for example logged events). e We write q → q when (q, e, q ) ∈ → and make the same notificational simplification for −− and −− .
Data! waitBus failedResponse! to? bad ack? 6: State transition diagram of the server. (time-out) messages. In a real application the time-out is generated in the end of the communication channel rather than by the failed bus, and the broken bus in simply silent. Since our modeling language does not contain any notion of time, a proper time-out behavior (such as taking a time-out transition after failing to send the data message for a certain amount of time) cannot be modeled. Therefore, in our example, a failed bus starts sending time-out messages.
1 where the model of the system and an error log are used for fault isolation, and the result of fault isolation Behavioral Model Fault Isolation Model Error 1 Error 2 ... 1: Model based fault isolation outlined. is presented to the user. We use critical events to model faulty behavior of the system, and thus finding the cause of the failure becomes synonymous with finding the critical events that caused the system failure. Typically, in our setting it is reasonable to assume that a system failure is caused by a single fault, but in general also multiple fault scenarios must be considered.