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Learning Universally Quantified Invariants of Linear Data Structures

Learning Universally Quantified Invariants of Linear Data Structures

9 February 2013
P. Garg
Christof Löding
P. Madhusudan
Daniel Neider
ArXiv (abs)PDFHTML

Papers citing "Learning Universally Quantified Invariants of Linear Data Structures"

4 / 4 papers shown
Title
Data-driven Verification of Procedural Programs with Integer Arrays
Data-driven Verification of Procedural Programs with Integer Arrays
Ahmed Bouajjani
Wael-Amine Boutglay
Peter Habermehl
13
0
0
21 May 2025
Leveraging Large Language Models for Automated Proof Synthesis in Rust
Leveraging Large Language Models for Automated Proof Synthesis in Rust
Jianan Yao
Ziqiao Zhou
Weiteng Chen
Weidong Cui
22
15
0
07 Nov 2023
Horn-ICE Learning for Synthesizing Invariants and Contracts
Horn-ICE Learning for Synthesizing Invariants and Contracts
D. D'Souza
P. Ezudheen
P. Garg
P. Madhusudan
Daniel Neider
53
59
0
26 Dec 2017
Invariant Synthesis for Incomplete Verification Engines
Invariant Synthesis for Incomplete Verification Engines
Daniel Neider
P. Garg
P. Madhusudan
Shambwaditya Saha
D. Park
51
11
0
15 Dec 2017
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