We propose in this paper an e cient learning algorithm, called LSep , that learns and generates a minimal separating DFA. Our algorithm has a quadratic query ...
We propose in this paper an efficient learning algorithm, called , that learns and generates a minimal separating DFA. Our algorithm has a quadratic query ...
System consist of Components M1 and M2 shall satisfy a Property P can be describe by regular Laguages L(M1),L(M2),L(P).
Nov 30, 2006 · Abstract. Compositional verification is a technique aimed at addressing the state explosion problem associated with model checking.
May 14, 2009 · Learning Minimal Separating DFA's for Compositional Verification. Speaker. Adam Dunkels. Date and Time. Thursday, May 14th, 2009, at 13.30.
May 29, 2024 · We propose DFAMiner, a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of labelled samples.
Proof rules for automated compositional verification through learning ... Learning minimal separating dfa's for compositional ver- ... compositional verification by ...
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Abstract. We propose DFAMiner, a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of la- belled samples.
Feb 19, 2024 · We propose a query learning algorithm for constructing a minimal DSFA M that separates given two regular languages L + and L - , i.e., ...
We apply our technique to three concrete problems: computing minimal separating DFAs (e.g., used in compositional verification), regular model checking, and ...