2019
Abstract Dependency Graphs and Their Application to Model Checking
ENEVOLDSEN, Soeren, Kim G. LARSEN a Jiří SRBAZákladní údaje
Originální název
Abstract Dependency Graphs and Their Application to Model Checking
Autoři
ENEVOLDSEN, Soeren (208 Dánsko), Kim G. LARSEN (208 Dánsko) a Jiří SRBA (203 Česká republika, garant, domácí)
Vydání
The Netherlands, Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'19), od s. 316-333, 18 s. 2019
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14330/19:00113640
Organizační jednotka
Fakulta informatiky
ISBN
978-3-030-17461-3
ISSN
UT WoS
000681166500018
Klíčová slova anglicky
dependency graph; on-the-fly algorithms; verification; model checking
Změněno: 16. 5. 2022 14:27, Mgr. Michal Petr
Anotace
V originále
Dependency graphs, invented by Liu and Smolka in 1998, are oriented graphs with hyperedges that represent dependencies among the values of the vertices. Numerous model checking problems are reducible to a computation of the minimum fixed-point vertex assignment. Recent works successfully extended the assignments in dependency graphs from the Boolean domain into more general domains in order to speed up the fixed-point computation or to apply the formalism to a more general setting of e.g. weighted logics. All these extensions require separate correctness proofs of the fixed-point algorithm as well as a one-purpose implementation. We suggest the notion of abstract dependency graphs where the vertex assignment is defined over an abstract algebraic structure of Noetherian partial orders with the least element. We show that existing approaches are concrete instances of our general framework and provide an open-source C++ library that implements the abstract algorithm. We demonstrate that the performance of our generic implementation is comparable to, and sometimes even outperforms, dedicated special-purpose algorithms presented in the literature.