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https://doi.org/10.1145/332488...
Article . 2020 . Peer-reviewed
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Dynamic algorithm selection for SMT

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 21 Dec 2020Publisher:ACMJournal:Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
Authors: Nikhil Pimpalkhare;

doi: 10.1145/3324884.3418922

Dynamic algorithm selection for SMT

Abstract

We describe an online approach to SMT solver selection using nearest neighbor classification and runtime estimation. We implement and evaluate our approach with MedleySolver, finding that it makes nearly optimal selections and evaluates a dataset of queries three times faster than any indivdual solver.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid