Yices 2.2
By Bruno Dutertre. International Conference on Computer Aided Verification, 2014
535 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/c854a5fc3d13549d31006033902948902b058665
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Alexey Ignatiev
- Joao Marques-Silva
- Nina Narodytska
- Clark W. Barrett
- Cesare Tinelli
- Andrew Reynolds
- Aina Niemetz
- Mathias Preiner
In Computer Networks and Communications
- Clark W. Barrett
- Andrew Reynolds
- Alexey Ignatiev
- Joao Marques-Silva
- Nina Narodytska
- Cesare Tinelli
- Tim King
- Matti Järvisalo
In Hardware and Architecture
Citations in the corpus
- Leveraging linear and mixed integer programming for SMT (2014, unknown): “2.0) [22].”
- Abduction-Based Explanations for Machine Learning Models (2018, methodology): “SMT solvers are accessed through the PySMT framework (Gario and Micheli 2015), which provides a unified interface to SMT solvers like CVC4, Math-SAT5, Yices2, and Z3 among a few others.”
- cvc5: A Versatile and Industrial-Strength SMT Solver (2022, background): “Notable SMT solvers include Bitwuzla [92], Boolector [98], CVC4 [21], MathSAT [46], OpenSMT2 [72], SMTInterpol [44], SMT-RAT [50], STP [61], veriT [35], Yices2 [55], and Z3 [90].”