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@inproceedings{1428840,
author = {Bendík, Jaroslav and Černá, Ivana and Beneš, Nikola},
address = {Los Angeles},
booktitle = {Automated Technology for Verification and Analysis - 16th International Symposium, {ATVA} 2018, Los Angeles, CA, USA, October 7-10, 2018, Proceedings}},
doi = {http://dx.doi.org/10.1007/978-3-030-01090-4_9},
editor = {Shuvendu Lahiri and Chao Wang},
keywords = {formal verification; minimal unstisfiable subsets},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Los Angeles},
isbn = {978-3-030-01089-8},
pages = {143-159},
publisher = {Springer},
title = {Recursive Online Enumeration of All Minimal Unsatisfiable Subsets},
url = {https://doi.org/10.1007/978-3-030-01090-4%5C_9},
year = {2018}
}
TY - JOUR
ID - 1428840
AU - Bendík, Jaroslav - Černá, Ivana - Beneš, Nikola
PY - 2018
TI - Recursive Online Enumeration of All Minimal Unsatisfiable Subsets
PB - Springer
CY - Los Angeles
SN - 9783030010898
KW - formal verification
KW - minimal unstisfiable subsets
UR - https://doi.org/10.1007/978-3-030-01090-4%5C_9
N2 - In various areas of computer science, we deal with a set of constraints to be satisfied. If the constraints cannot be satisfied simultaneously, it is desirable to identify the core problems among them. Such cores are called minimal unsatisfiable subsets (MUSes). The more MUSes are identified, the more information about the conflicts among the constraints is obtained. However, a full enumeration of all MUSes is in general intractable due to the large number (even exponential) of possible conflicts. Moreover, to identify MUSes, algorithms have to test sets of constraints for their simultaneous satisfiability. The type of the test depends on the application domains. The complexity of the tests can be extremely high especially for domains like temporal logics, model checking, or SMT. In this paper, we propose a recursive algorithm that identifies MUSes in an online manner (i.e., one by one) and can be terminated at any time. The key feature of our algorithm is that it minimises the number of satisfiability tests and thus speeds up the computation. The algorithm is applicable to an arbitrary constraint domain and proves to be efficient especially in domains with expensive satisfiability checks. We benchmark our algorithm against the state-of-the-art algorithm Marco on the Boolean and SMT constraint domains and demonstrate that our algorithm really requires less satisfiability tests and consequently finds more MUSes in the given time limits.
ER -
BENDÍK, Jaroslav, Ivana ČERNÁ and Nikola BENEŠ. Recursive Online Enumeration of All Minimal Unsatisfiable Subsets. In Shuvendu Lahiri and Chao Wang. \textit{Automated Technology for Verification and Analysis - 16th International Symposium, $\{$ATVA$\}$ 2018, Los Angeles, CA, USA, October 7-10, 2018, Proceedings$\}$}. Los Angeles: Springer. p.~143-159. ISBN~978-3-030-01089-8. doi:10.1007/978-3-030-01090-4\_{}9. 2018.
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