Detailed Information on Publication Record
2016
Faster Statistical Model Checking for Unbounded Temporal Properties
DACA, Przemyslaw, Thomas A. HENZINGER, Jan KŘETÍNSKÝ and Tatjana PETROVBasic information
Original name
Faster Statistical Model Checking for Unbounded Temporal Properties
Authors
DACA, Przemyslaw (616 Poland), Thomas A. HENZINGER (40 Austria), Jan KŘETÍNSKÝ (203 Czech Republic, guarantor, belonging to the institution) and Tatjana PETROV (688 Serbia)
Edition
Berlin Heidelberg, Tools and Algorithms for the Construction and Analysis of Systems - 22nd International Conference, TACAS 2016, p. 112-129, 18 pp. 2016
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/16:00088469
Organization unit
Faculty of Informatics
ISBN
978-3-662-49673-2
ISSN
UT WoS
000406428000007
Keywords in English
statistical model checking; verification; temporal logic
Tags
Tags
International impact, Reviewed
Změněno: 1/6/2022 12:34, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
We present a new algorithm for the statistical model checking of Markov chains with respect to unbounded temporal properties, including full linear temporal logic. The main idea is that we monitor each simulation run on the fly, in order to detect quickly if a bottom strongly connected component is entered with high probability, in which case the simulation run can be terminated early. As a result, our simulation runs are often much shorter than required by termination bounds that are computed a priori for a desired level of confidence on a large state space. In comparison to previous algorithms for statistical model checking our method is not only faster in many cases but also requires less information about the system, namely, only the minimum transition probability that occurs in the Markov chain. In addition, our method can be generalised to unbounded quantitative properties such as mean-payoff bounds.
Links
GBP202/12/G061, research and development project |
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