4 papers
Derivative-Agnostic Inference of Nonlinear Hybrid Systems
Hengzhi Yu, Bohan Ma, Mingshuai Chen +5
This paper addresses the problem of inferring a hybrid automaton from a set of input-output traces of a hybrid system exhibiting discrete mode switching between continuously evolvi…
A Tale of 1001 LoC: Potential Runtime Error-Guided Specification Synthesis for Verifying Large-Scale Programs
Zhongyi Wang, Tengjie Lin, Mingshuai Chen +9
Fully automated verification of large-scale software and hardware systems is arguably the holy grail of formal methods. Large language models (LLMs) have recently demonstrated thei…
Preguss: It Analyzes, It Specifies, It Verifies
Zhongyi Wang, Tengjie Lin, Mingshuai Chen +5
Fully automated verification of large-scale software and hardware systems is arguably the holy grail of formal methods. Large language models (LLMs) have recently demonstrated thei…
PARF: An Adaptive Abstraction-Strategy Tuner for Static Analysis
Zhongyi Wang, Mingshuai Chen, Tengjie Lin +6
We launch Parf - a toolkit for adaptively tuning abstraction strategies of static program analyzers in a fully automated manner. Parf models various types of external parameters (e…