Abstract. Automatic understanding of the intended meaning of computer pro-grams is a very hard problem, requiring intelligence and reasoning. In this paper we evaluate a program analysis method, called symbol elimination, that uses first-order theorem proving techniques to automatically discover non-trivial program properties. We discuss implementation details of the method, present experimen-tal results, and discuss the relation of the program properties obtained by our im-plementation and the intended meaning of the programs used in the experiments.
Abstract. We describe the design and implementation of an automatic invariant generator for imperati...
A theorem proving system has been programmed for automating mildly complex proofs by structural indu...
Automated theorem provers are routinely used in program analysis and verification for checking progr...
Static analysis of program semantics can be used to provide strong guarantees about the correctness ...
Automatic understanding of the intended meaning of computer programs is a very hard problem, requiri...
This talk describes how a combination of symbolic computation techniques with first-order theorem pr...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
Abstract. Most of the properties established during program verification are either invariants or de...
We describe the Lingva tool for generating and proving complex program properties using the recently...
AbstractMathematical proofs often implicity contain constructions of objects with certain properties...
Automated invariant generation is a fundamental challenge in program analysis and verification, goin...
Analysis and transformation techniques developed for logic programming can be successfully applied t...
In this paper we describe our protocol for the interaction between a theory and the programs extract...
Abstract. This paper describes a loop invariant generator implemented in the theorem prover Vampire....
Abstract—Acceleration is a technique for summarising loops by computing a closed-form representation...
Abstract. We describe the design and implementation of an automatic invariant generator for imperati...
A theorem proving system has been programmed for automating mildly complex proofs by structural indu...
Automated theorem provers are routinely used in program analysis and verification for checking progr...
Static analysis of program semantics can be used to provide strong guarantees about the correctness ...
Automatic understanding of the intended meaning of computer programs is a very hard problem, requiri...
This talk describes how a combination of symbolic computation techniques with first-order theorem pr...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
Abstract. Most of the properties established during program verification are either invariants or de...
We describe the Lingva tool for generating and proving complex program properties using the recently...
AbstractMathematical proofs often implicity contain constructions of objects with certain properties...
Automated invariant generation is a fundamental challenge in program analysis and verification, goin...
Analysis and transformation techniques developed for logic programming can be successfully applied t...
In this paper we describe our protocol for the interaction between a theory and the programs extract...
Abstract. This paper describes a loop invariant generator implemented in the theorem prover Vampire....
Abstract—Acceleration is a technique for summarising loops by computing a closed-form representation...
Abstract. We describe the design and implementation of an automatic invariant generator for imperati...
A theorem proving system has been programmed for automating mildly complex proofs by structural indu...
Automated theorem provers are routinely used in program analysis and verification for checking progr...