GRASShopper - Complete Heap Verification with Mixed Specifications
By R. Piskac, Thomas Wies, D. Zufferey. 2014
68 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Program Analysis & Verification
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
- Richard S. Zemel
- Miltiadis Allamanis
- Yoshua Bengio
- William L. Hamilton
- Ruslan Salakhutdinov
In Computational Theory and Mathematics
- Pushmeet Kohli
- Byron Cook
- Daniel Tarlow
- Richard S. Zemel
- Marc Brockschmidt
- Siddharth Krishna
- Yujia Li
- Yuxin Chen
In Program Analysis & Verification
- Pushmeet Kohli
- Daniel Tarlow
- Richard S. Zemel
- Marc Brockschmidt
- Siddharth Krishna
- Yujia Li
- Yuxin Chen
Citations in the corpus
- Gated Graph Sequence Neural Networks (2015, background): “Static program analysis tools (e.g., (Piskac et al., 2014)) can check whether a candidate formula is sufficient to prove the desired properties (e.g., memory safety).”
- Learning Shape Analysis (2017, methodology): “This can be checked using a complete program verifier such as GRASShopper by using ϕh ∧ ϕ` as precondition of a procedure whose body is assert false.”
- Learning to Decipher the Heap for Program Verification (2016, background): “Given a candidate description, tools from static program verification (Piskac et al., 2014) can determine whether the description is accurate and whether the description allows one to prove that the program satisfies the desired properties (e.g., memory safety).”