ENEVOLDSEN, Soeren, Kim G. LARSEN and Jiří SRBA. Model Verification Through Dependency Graphs. In Proceedings of the 26th International SPIN Symposium on Model Checking of Software (SPIN'19). The Nederlands: Springer, 2019, p. 1-19. ISBN 978-3-030-30922-0. Available from: https://dx.doi.org/10.1007/978-3-030-30923-7_1.
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Basic information
Original name Model Verification Through Dependency Graphs
Authors ENEVOLDSEN, Soeren (208 Denmark), Kim G. LARSEN (208 Denmark) and Jiří SRBA (203 Czech Republic, guarantor, belonging to the institution).
Edition The Nederlands, Proceedings of the 26th International SPIN Symposium on Model Checking of Software (SPIN'19), p. 1-19, 19 pp. 2019.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/19:00113642
Organization unit Faculty of Informatics
ISBN 978-3-030-30922-0
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-30923-7_1
UT WoS 000876678900001
Keywords in English dependency graph; on-the-fly algorithms; model checking; verification
Tags firank_B
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2024 16:26.
Abstract
Dependency graphs, as introduced more than 20 years ago by Liu and Smolka, are oriented graphs with hyperedges that connect nodes with sets of target nodes in order to represent causal dependencies in the graph. Numerous verification problems can be reduced into the problem of computing a minimum or maximum fixed-point assignment on dependency graphs. In the original definition, assignments link each node with a Boolean value, however, in the recent work the assignment domains have been extended to more general setting, even including infinite domains. We present an overview of the recent results on extensions of dependency graphs in order to deal with verification of quantitative, probabilistic and timed systems.
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