TY - GEN
T1 - Reachability preservation based parameter synthesis for timed automata
AU - André, Étienne
AU - Lipari, Giuseppe
AU - Nguyen, Hoang Gia
AU - Sun, Youcheng
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - The synthesis of timing parameters consists in deriving conditions on the timing constants of a concurrent system such that it meets its specification. Parametric timed automata are a powerful formalism for parameter synthesis, although most problems are undecidable. We first address here the following reachability preservation problem: given a reference parameter valuation and a (bad) control state, do there exist other parameter valuations that reach this control state iff the reference parameter valuation does? We show that this problem is undecidable, and introduce a procedure that outputs a possibly underapproximated answer. We then show that our procedure can efficiently replace the behavioral cartography to partition a bounded parameter subspace into good and bad subparts; furthermore, our procedure can even outperform the classical bad-state driven parameter synthesis semi-algorithm, especially when distributed on a cluster.
AB - The synthesis of timing parameters consists in deriving conditions on the timing constants of a concurrent system such that it meets its specification. Parametric timed automata are a powerful formalism for parameter synthesis, although most problems are undecidable. We first address here the following reachability preservation problem: given a reference parameter valuation and a (bad) control state, do there exist other parameter valuations that reach this control state iff the reference parameter valuation does? We show that this problem is undecidable, and introduce a procedure that outputs a possibly underapproximated answer. We then show that our procedure can efficiently replace the behavioral cartography to partition a bounded parameter subspace into good and bad subparts; furthermore, our procedure can even outperform the classical bad-state driven parameter synthesis semi-algorithm, especially when distributed on a cluster.
UR - http://www.scopus.com/inward/record.url?scp=84942583447&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-17524-9_5
DO - 10.1007/978-3-319-17524-9_5
M3 - Conference contribution
AN - SCOPUS:84942583447
SN - 9783319175232
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 50
EP - 65
BT - NASA Formal Methods - 7th International Symposium, NFM 2015, Proceedings
A2 - Havelund, Klaus
A2 - Holzmann, Gerard
A2 - Joshi, Rajeev
PB - Springer-Verlag Italia
T2 - 7th International Symposium on NASA Formal Methods, NFM 2015
Y2 - 27 April 2015 through 29 April 2015
ER -