In this paper, we present SeaHorn, a software verification framework. The key distinguishing feature of SeaHorn is its modular design that separates the concerns of the syntax of the programming language, its operational semantics, and the verification semantics. Sea-Horn encompasses several novelties: it (a) encodes verification conditions using an efficient yet precise inter-procedural technique, (b) provides flexibility in the verification semantics to allow different levels of precision, (c) leverages the state-of-the-art in software model checking and abstract interpretation for verification, and (d) uses Horn-clauses as an intermediate language to represent verification conditions which simplifies interfacing with multiple verification tools based on Horn-clauses. SeaHorn provides users with a powerful verification tool and researchers with an extensible and customizable framework for experimenting with new software verification techniques. The effectiveness and scalability of SeaHorn are demonstrated by an extensive experimental evaluation using benchmarks from SV-COMP 2015 and real avionics code.

PKind is a novel parallel k-induction-based model checker of invariant properties for finite- or infinite-state Lustre programs. Its architecture, which is strictly message-based, is designed to minimize synchronization delays and easily accommodate the incorporation of incremental invariant generators to enhance basic k-induction. We describe PKind's functionality and main features, and present experimental evidence that PKind significantly speeds up the verification of safety properties and, due to incremental invariant generation, also considerably increases the number of provable ones

Abstract. Building a competitive program verifiers is becoming cheaper. On the front-end side, openly available compiler infrastructure and optimization frameworks take care of hairy problems such as alias analysis, and break down the subtleties of modern languages into a handful of simple instructions that need to be handled. On the back-end side, theorem provers start providing full-fledged model checking algorithms, such as PDR, that take care looping control-flow. In this spirit, we developed JayHorn, a verification framework for Java with the goal of having as few moving parts as possible. Most steps of the translation from Java into logic are implemented as bytecode transformations, with the implication that their soundness can be tested easily. From the transformed bytecode, we generate a set of constrained Horn clauses that are verified using state-of-the-art Horn solvers. We report on our implementation experience and evaluate JayHorn on benchmarks.

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