SAT-Based Model Checking without Unrolling
By Aaron R. Bradley. International Conference on Verification, Model Checking and Abstract Interpretation, 2011
815 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Software
View Paper: https://www.semanticscholar.org/paper/1da60e7f46402ae98db22c3ca3ddeb0853af46bd
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
- Marc Brockschmidt
- Pushmeet Kohli
- Daniel Tarlow
- A. Cimatti
- Alberto Griggio
- Alan Mishchenko
- Robert K. Brayton
- Miltiadis Allamanis
In Computational Theory and Mathematics
- A. Cimatti
- Alberto Griggio
- Alan Mishchenko
- Robert K. Brayton
- Pushmeet Kohli
- Stefano Tonetta
- Daniel Tarlow
- Andrea Micheli
In Software
- A. Cimatti
- Pushmeet Kohli
- Alan Mishchenko
- Stefano Tonetta
- Daniel Tarlow
- Andrea Micheli
- Robert K. Brayton
- Alberto Griggio
Citations in the corpus
- The nuXmv Symbolic Model Checker (2014, methodology): “On the left we compare IC3 with implicit abstraction algorithm [21] as available in NUXMV against state-of-the-art engines on a set of bit-vector (BV) benchmarks (we took all the benchmarks used in [20], using BV as background theory instead of LRA, the instances of the bitvector set of the Software”
- Learning Shape Analysis (2017, background): “) is combined with a variation of the IC3 property-directed reachability algorithm [8] to prove memory safety and data properties.”
- ZEUS: Analyzing Safety of Smart Contracts (2018, background): “The strength of the CHC representation enables it to interface with a variety of SMTbased solvers and off-the-shelf model checkers [56], [63].”
- Efficient implementation of property directed reachability (2011, methodology): “More recently, another novel method was pioneered by Aaron Bradley [1, 2].”