“…The complexity of PNs generated for practical models in the literature demonstrates that it is not straightforward to construct such PNs directly from the system specifications. dtsdPBC is well suited for the discrete time applications, whose discrete states change with a global time tick, such as business processes, neural and transportation networks, computer and communication systems, timed web services [60], as well as for those, in which the distributed architecture or the concurrency level should be preserved while modeling and analysis (remember that, in step semantics, we have additional transitions due to concurrent executions). dtsdPBC is also capable to model and analyze parallel systems with fixed durations of the typical activities (loading, processing, transfer, repair) and stochastic durations of the randomly occurring activities (arrival, failure), including industrial, manufacturing, queueing, computing and network systems.…”