We describe an iterative algorithm for mechanically deriving loop invariants for the purpose of proving the partial correctness of programs. The algorithm is based on resolution and a novel unskolemization technique for deriving logical consequences of first-order formulas. Our method is complete in the sense that if a loop invariant exists for a loop in a given first-order language relative to a given finite set of first-order axioms, then the algorithm produces a loop invariant for that loop which can be used for proving the partial correctness of the program. Existing techniques in the literature are not complete
10 pagesLoop invariants play a major role in program verification and drastically speed up processes...
Abstract—Verifiers that can prove programs correct against their full functional specification requi...
textLoop invariants have traditionally been used in proofs of correctness (e.g. program verification...
We describe an iterative algorithm for mechanically deriving loop invariants for the purpose of prov...
We describe an iterative algorithm for mechanically deriving loop invariants \u000Afor the purpose o...
Static analysis of program semantics can be used to provide strong guarantees about the correctness ...
Provably correct software is one of the key challenges in our software-driven society. Program verif...
AbstractIn the mechanical verification of programs containing loops it is often necessary to provide...
An approach for automatically generating loop invariants using quantifier-elimination is proposed. A...
Abstract. Most of the properties established during program verification are either invariants or de...
We introduce a calculus for reasoning about programs in total correctness which blends UTP designs w...
This paper is concerned with the semantics (or computational power) of very simple loop programs ove...
We present a framework to analyze and verify programs containing loops by using a first-order langua...
Checking whether a given formula is an invariant at a given program location (especially, inside a l...
Does the application of time quantifiers, such as “sometimes” and “always” in loop invariants, incre...
10 pagesLoop invariants play a major role in program verification and drastically speed up processes...
Abstract—Verifiers that can prove programs correct against their full functional specification requi...
textLoop invariants have traditionally been used in proofs of correctness (e.g. program verification...
We describe an iterative algorithm for mechanically deriving loop invariants for the purpose of prov...
We describe an iterative algorithm for mechanically deriving loop invariants \u000Afor the purpose o...
Static analysis of program semantics can be used to provide strong guarantees about the correctness ...
Provably correct software is one of the key challenges in our software-driven society. Program verif...
AbstractIn the mechanical verification of programs containing loops it is often necessary to provide...
An approach for automatically generating loop invariants using quantifier-elimination is proposed. A...
Abstract. Most of the properties established during program verification are either invariants or de...
We introduce a calculus for reasoning about programs in total correctness which blends UTP designs w...
This paper is concerned with the semantics (or computational power) of very simple loop programs ove...
We present a framework to analyze and verify programs containing loops by using a first-order langua...
Checking whether a given formula is an invariant at a given program location (especially, inside a l...
Does the application of time quantifiers, such as “sometimes” and “always” in loop invariants, incre...
10 pagesLoop invariants play a major role in program verification and drastically speed up processes...
Abstract—Verifiers that can prove programs correct against their full functional specification requi...
textLoop invariants have traditionally been used in proofs of correctness (e.g. program verification...