Add to ORKGWe present a general algorithm for synthesizing state invari-ants that speed up automated planners and have other appli-cations in reasoning about change. Invariants are facts that hold in all states that are reachable from an initial state by the application of a number of operators. In contrast to ear-lier work, we recognize the fact that establishing an invari-ant may require considering other invariants, and this in turn seems to require viewing synthesis of invariants as fixpoint computation. Also, the algorithm is not inherently restricted to invariants of particular syntactic forms
We are interested in automatically proving safety properties of infinite state systems. We present a...
Computation of invariants, which are approximate reachability information for state-space search pro...
Abstract. Most of the properties established during program verification are either invariants or de...
When proving invariance properties of programs one is faced with two problems. The first problem is ...
Abstract. A fundamental method of analyzing a system such as a program or a circuit is invariance an...
In earlier work, we developed a xpoint algorithm for automatically generating state invariants, prop...
Almost every algorithm repeats (iterates, loops) a certain transformation on a state of “things”; in...
Abstract. We present a constraint-based algorithm for the synthesis of invariants expressed in the c...
Abstract. We present a constraint-based algorithm for the synthesis of invariants expressed in the c...
The problem of synthesizing adequate inductive invariants to prove a program correct lies at the he...
Abstract. We introduce ICE, a robust learning paradigm for synthesizing invari-ants, that learns usi...
Abstract We continue to advocate a methodology that we used earlier for pattern discovery through ex...
Abstract. In this paper we present InvGen, an automatic linear arith-metic invariant generator for i...
Refinement is a powerful mechanism for mastering the complexities that arise when formally modelling...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
We are interested in automatically proving safety properties of infinite state systems. We present a...
Computation of invariants, which are approximate reachability information for state-space search pro...
Abstract. Most of the properties established during program verification are either invariants or de...
When proving invariance properties of programs one is faced with two problems. The first problem is ...
Abstract. A fundamental method of analyzing a system such as a program or a circuit is invariance an...
In earlier work, we developed a xpoint algorithm for automatically generating state invariants, prop...
Almost every algorithm repeats (iterates, loops) a certain transformation on a state of “things”; in...
Abstract. We present a constraint-based algorithm for the synthesis of invariants expressed in the c...
Abstract. We present a constraint-based algorithm for the synthesis of invariants expressed in the c...
The problem of synthesizing adequate inductive invariants to prove a program correct lies at the he...
Abstract. We introduce ICE, a robust learning paradigm for synthesizing invari-ants, that learns usi...
Abstract We continue to advocate a methodology that we used earlier for pattern discovery through ex...
Abstract. In this paper we present InvGen, an automatic linear arith-metic invariant generator for i...
Refinement is a powerful mechanism for mastering the complexities that arise when formally modelling...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
We are interested in automatically proving safety properties of infinite state systems. We present a...
Computation of invariants, which are approximate reachability information for state-space search pro...
Abstract. Most of the properties established during program verification are either invariants or de...