By Dimitra Giannakopoulou, Daniel Kroening

This quantity constitutes the completely refereed post-conference court cases of the sixth overseas convention on validated software program: Theories, instruments and Experiments, VSTTE 2014, held in July 2014 on the Vienna summer time of good judgment in Vienna, Austria, as an linked occasion of CAV 2014, the foreign convention on Computer-Aided Verification. The 17 revised complete papers provided have been conscientiously revised and chosen from 34 submissions. The papers are equipped in topical sections equivalent to research: figuring out and rationalization; verification frameworks and purposes; hypervisors and dynamic info constructions; certification; actual time and security.

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Extra info for Verified Software: Theories, Tools and Experiments: 6th International Conference, VSTTE 2014, Vienna, Austria, July 17-18, 2014, Revised Selected Papers

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2 Preliminaries In this section we introduce the notion of refinement we will use in this paper and a running example to illustrate some of the techniques we propose. Consider a C implementation of a queue Abstract Data Type (ADT) (or library) shown in Fig. 2, whose functional correctness we want to reason about. This example is taken from [7]. The library uses an integer array A to store the elements of the queue. The variables beg and end denote positions in the array and the elements of the queue are stored starting from beg to end - 1 in the array, wrapping around to the beginning of the array if necessary.

PrenticeHall, Englewood Cliffs (1996) 17. : Full functional verification of linked data structures. P. ) PLDI, pp. 349–361. ACM (2008) Formalizing Semantics with an Automatic Program Verifier Martin Clochard1,2,3 , Jean-Christophe Filliˆ atre2,3 , Claude March´e2,3 , 2,3(B) and Andrei Paskevich 1 2 Ecole Normale Sup´erieure, 75005 Paris, France Lab. de Recherche En Informatique, Univ. fr 3 INRIA Saclay – ˆIle-de-France, 91893 Orsay, France Abstract. A common belief is that formalizing semantics of programming languages requires the use of a proof assistant providing (1) a specification language with advanced features such as higher-order logic, inductive definitions, type polymorphism, and (2) a corresponding proof environment where higher-order and inductive reasoning can be performed, typically with user interaction.

To illustrate this on a simple example, consider an abstract ghost implementation Gl of the queue library (Sect. 2) and another ghost implementation Gk such that k ≥ l, where the subscript represents the maximum size of the queue. Figure 8 shows the joint structure to phrase the refinement condition between Gl and Gk and Fig. 9 shows the combined function to check the refinement between the abstract and concrete implementation of the deq operation. 30 S. Divakaran et al. Unfortunately when the concrete model is a C program, this approach could cause the prover to take lot of time or even run out of resources.

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