Detailed Information on Publication Record
2018
Start Pruning When Time Gets Urgent: Partial Order Reduction for Timed Systems
BOENNELAND, Frederik M., Peter G. JENSEN, Kim G. LARSEN, Marco MUNIZ, Jiří SRBA et. al.Basic information
Original name
Start Pruning When Time Gets Urgent: Partial Order Reduction for Timed Systems
Authors
BOENNELAND, Frederik M. (208 Denmark), Peter G. JENSEN (208 Denmark), Kim G. LARSEN (208 Denmark), Marco MUNIZ (604 Peru) and Jiří SRBA (203 Czech Republic, guarantor, belonging to the institution)
Edition
Netherlands, Proceedings of the 30th International Conference on Computer Aided Verification (CAV'18), p. 527-546, 20 pp. 2018
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/18:00106625
Organization unit
Faculty of Informatics
ISBN
978-3-319-96144-6
ISSN
UT WoS
000491481600028
Keywords in English
partial order reduction; timed-arc Petri nets; stubborn sets
Změněno: 16/5/2022 14:34, Mgr. Michal Petr
Abstract
V originále
Partial order reduction for timed systems is a challenging topic due to the dependencies among events induced by time acting as a global synchronization mechanism. So far, there has only been a limited success in finding practically applicable solutions yielding significant state space reductions. We suggest a working and efficient method to facilitate stubborn set reduction for timed systems with urgent behaviour. We first describe the framework in the general setting of timed labelled transition systems and then instantiate it to the case of timed-arc Petri nets. The basic idea is that we can employ classical untimed partial order reduction techniques as long as urgent behaviour is enforced. Our solution is implemented in the model checker TAPAAL and the feature is now broadly available to the users of the tool. By a series of larger case studies, we document the benefits of our method and its applicability to real-world scenarios.