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[BJM18] | Patricia Bouyer,
Samy Jaziri et
Nicolas Markey.
Efficient timed diagnosis using automata with timed
domains.
In RV'18,
Lecture Notes in Computer Science 11237, pages 205-221. Springer-Verlag, novembre 2018.
@inproceedings{rv2018-BJM, author = {Bouyer, Patricia and Jaziri, Samy and Markey, Nicolas}, title = {Efficient timed diagnosis using automata with timed domains}, editor = {Colombo, Christian and Leucker, Martin}, booktitle = {{P}roceedings of the 18th {I}nternational {W}orkshop on {R}untime {V}erification ({RV}'18)}, acronym = {{RV}'18}, publisher = {Springer-Verlag}, series = {Lecture Notes in Computer Science}, volume = {11237}, pages = {205-221}, year = {2018}, month = nov, doi = {10.1007/978-3-030-03769-7_12}, abstract = {We consider the problems of efficiently diagnosing and predicting what did (or~will) happen in a partially-observable one-clock timed automaton. We~introduce timed sets as a formalism to keep track of the evolution of the reachable configurations over time, and use our previous work on automata over timed domains to build a candidate diagnoser for our timed automaton. We~report on our implementation of this approach compared to the approach of [Tripakis, Fault diagnosis for timed autmata,~2002].}, } |
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