It takes the average reader and 44 minutes to read Probabilistic metric temporal graph logic by Sven Schneider
Assuming a reading speed of 250 words per minute. Learn more
Cyber-physical systems often encompass complex concurrent behavior with timing constraints and probabilistic failures on demand. The analysis whether such systems with probabilistic timed behavior adhere to a given specification is essential. When the states of the system can be represented by graphs, the rule-based formalism of Probabilistic Timed Graph Transformation Systems (PTGTSs) can be used to suitably capture structure dynamics as well as probabilistic and timed behavior of the system. The model checking support for PTGTSs w.r.t. properties specified using Probabilistic Timed Computation Tree Logic (PTCTL) has been already presented. Moreover, for timed graph-based runtime monitoring, Metric Temporal Graph Logic (MTGL) has been developed for stating metric temporal properties on identified subgraphs and their structural changes over time. In this paper, we (a) extend MTGL to the Probabilistic Metric Temporal Graph Logic (PMTGL) by allowing for the specification of probabilistic properties, (b) adapt our MTGL satisfaction checking approach to PTGTSs, and (c) combine the approaches for PTCTL model checking and MTGL satisfaction checking to obtain a Bounded Model Checking (BMC) approach for PMTGL. In our evaluation, we apply an implementation of our BMC approach in AutoGraph to a running example.
Probabilistic metric temporal graph logic by Sven Schneider is 44 pages long, and a total of 11,176 words.
This makes it 15% the length of the average book. It also has 14% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 1 minute to read Probabilistic metric temporal graph logic aloud.
Probabilistic metric temporal graph logic is suitable for students ages 8 and up.
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