One of the obstacles in automatic program proving is to obtain suit-able loop invariants. The invariant of a loop is a weakened form of its postcondition (the loop’s goal, also known as its contract); the present work takes advantage of this observation by using the postcondition as the basis for invariant inference, using various heuristics such as “uncou-pling ” which prove useful in many important algorithms. Thanks to these heuristics, the technique is able to infer invariants for a large variety of loop examples. We present the theory behind the technique, its implemen-tation (freely available for download and currently relying on Microsoft Research’s Boogie tool), and the results obtained.
We describe an iterative algorithm for mechanically deriving loop invariants \u000Afor the purpose o...
Abstract—Acceleration is a technique for summarising loops by computing a closed-form representation...
AbstractA by-now-standard strategy for developing a loop invariant and loop was developed in [1] and...
AbstractIn the mechanical verification of programs containing loops it is often necessary to provide...
International audienceBy combining algorithmic learning, decision procedures, and predicate abstract...
We present a framework for automating the discovery of loop invariants based upon failed proof atte...
AbstractEver since their introduction by Hoare in 1969, invariant assertions have, justifiably, play...
Abstract—Loop invariants play a major role in program verifi-cation. Though various techniques have ...
Abstract. By combining algorithmic learning, decision procedures, and predicate abstraction, we pres...
Verifiers that can prove programs correct against their full functional specification require, for p...
Abstract. Most of the properties established during program verification are either invariants or de...
This artifact contains the mechanized meta-theory (in Isabelle/HOL) for the verification of loops us...
Many groups around the world conduct research on formal methods for software development, and in mos...
International audienceBy combining algorithmic learning, decision procedures, predicate abstraction,...
Australia. A discipline for loop construction is presented which is based on the concept of a well-f...
We describe an iterative algorithm for mechanically deriving loop invariants \u000Afor the purpose o...
Abstract—Acceleration is a technique for summarising loops by computing a closed-form representation...
AbstractA by-now-standard strategy for developing a loop invariant and loop was developed in [1] and...
AbstractIn the mechanical verification of programs containing loops it is often necessary to provide...
International audienceBy combining algorithmic learning, decision procedures, and predicate abstract...
We present a framework for automating the discovery of loop invariants based upon failed proof atte...
AbstractEver since their introduction by Hoare in 1969, invariant assertions have, justifiably, play...
Abstract—Loop invariants play a major role in program verifi-cation. Though various techniques have ...
Abstract. By combining algorithmic learning, decision procedures, and predicate abstraction, we pres...
Verifiers that can prove programs correct against their full functional specification require, for p...
Abstract. Most of the properties established during program verification are either invariants or de...
This artifact contains the mechanized meta-theory (in Isabelle/HOL) for the verification of loops us...
Many groups around the world conduct research on formal methods for software development, and in mos...
International audienceBy combining algorithmic learning, decision procedures, predicate abstraction,...
Australia. A discipline for loop construction is presented which is based on the concept of a well-f...
We describe an iterative algorithm for mechanically deriving loop invariants \u000Afor the purpose o...
Abstract—Acceleration is a technique for summarising loops by computing a closed-form representation...
AbstractA by-now-standard strategy for developing a loop invariant and loop was developed in [1] and...