Publication details
Speeding up Quantified Bit-Vector SMT Solvers by Bit-Width Reductions and Extensions
| Authors | |
|---|---|
| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | Theory and Applications of Satisfiability Testing - SAT 2020 - 23rd International Conference, Alghero, Italy, July 3-10, 2020, Proceedings |
| MU Faculty or unit | |
| Citation | |
| web | https://link.springer.com/chapter/10.1007%2F978-3-030-51825-7_27 |
| Doi | http://dx.doi.org/10.1007/978-3-030-51825-7_27 |
| Keywords | SMT solving; bit-vector logic; Boolector; Q3B |
| Description | Recent experiments have shown that satisfiability of a quantified bit-vector formula coming from practical applications almost never changes after reducing all bit-widths in the formula to a small number of bits. This paper proposes a novel technique based on this observation. Roughly speaking, a given quantified bit-vector formula is reduced and sent to a solver, an obtained model is then extended to the original bit-widths and verified against the original formula. We also present an experimental evaluation demonstrating that this technique can significantly improve the performance of state-of-the-art smt solvers Boolector, CVC4, and Q3B on quantified bit-vector formulas from the smt-lib repository. |
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