Lazy Abstraction with Interpolants
By Kenneth L. McMillan. International Conference on Computer Aided Verification, 2006
494 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/7749042cae11eecc57fba82c7d8d4bf7bec11604
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
- Miltiadis Allamanis
- Siddharth Krishna
- Yuxin Chen
- Percy Liang
- Charles Sutton
In Computational Theory and Mathematics
Citations in the corpus
- Learning Shape Analysis (2017, methodology): “Similary, SplInter extends the Impact [30] safety prover with heap reasoning based on an interpolation technique for separation logic.”
- Software model checking (2009, unknown): “This approach, which is implemented in the F-Soft [Jain et al. 2006] and Impact [McMillan 2006] model checkers, can make verification much faster if if the first phase can cheaply find invariants that are crucial for the second phase, but which are expensive to compute using a more general abstraction…”