Andrei Paskevich

TFF1: the TPTP typed first-order form with rank-1 polymorphism

The TPTP World is a well-established infrastructure for automatic theorem provers. It defines several concrete syntaxes, notably an untyped first-order form (FOF) and a typed first-order form (TFF0), that have become de facto standards. This paper introduces the TFF1 format, an extension of TFF0 with rank-1 polymorphism. The format is designed to be easy to process by existing reasoning tools that support ML-style polymorphism. It opens the door to useful middleware, such as monomorphizers and other translation tools that encode polymorphism in FOF or TFF0. Ultimately, the hope is that TFF1 will be implemented in popular automatic theorem provers.

A3PAT, an approach for certified automated termination proofs

Software engineering, automated reasoning, rule-based programming or specifications often use rewriting systems for which termination, among other properties, may have to be ensured.This paper presents the approach developed in Project A3PAT to discover and moreover certify, with full automation, termination proofs for term rewriting systems. It consists of two developments: the Coccinelle library formalises numerous rewriting techniques and termination criteria for the Coq proof assistant; the CiME3 rewriting tool translates termination proofs (discovered by itself or other tools) into traces that are certified by Coq assisted by Coccinelle. The abstraction level of our formalisation allowed us to weaken premises of some theorems known in the literature, thus yielding new termination criteria, such as an extension of the powerful subterm criterion (for which we propose the first full Coq formalisation). Techniques employed in CiME3 also improve on previous works on formalisation and analysis of dependency graphs.

Let's verify this with Why3

We present solutions to the three challenges of the VerifyThis competition held at the 18th FM symposium in August 2012. These solutions use the Why3 environment for deductive program verification.

Adding Decision Procedures to SMT Solvers Using Axioms with Triggers

Satisfiability modulo theories (SMT) solvers are efficient tools to decide the satisfiability of ground formulas, including a number of built-in theories such as congruence, linear arithmetic, arrays, and bit-vectors. Adding a theory to that list requires delving into the implementation details of a given SMT solver, and is done mainly by the developers of the solver itself. For many useful theories, one can alternatively provide a first-order axiomatization. However, in the presence of quantifiers, SMT solvers are incomplete and exhibit unpredictable behavior. Consequently, this approach can not provide us with a complete and terminating treatment of the theory of interest. In this paper, we propose a framework to solve this problem, based on the notion of instantiation patterns, also known as triggers. Triggers are annotations that suggest instances which are more likely to be useful in proof search. They are implemented in all SMT solvers that handle first-order logic and are included in the SMT-LIB format. In our framework, the user provides a theory axiomatization with triggers, along with a proof of completeness and termination properties of this axiomatization, and obtains a sound, complete, and terminating solver for her theory in return. We describe and prove a corresponding extension of the traditional Abstract DPLL Modulo Theory framework. Implementing this mechanism in a given SMT solver requires a one-time development effort. We have implemented the proposed extension in the Alt-Ergo prover and we discuss some implementation details in the paper. To show that our framework can handle complex theories, we prove completeness and termination of a feature-rich axiomatization of doubly-linked lists. Our tests show that our approach results in a better performance of the solver on goals that stem from the verification of programs manipulating doubly-linked lists and sets.

Verified programs with binders

Programs that treat datatypes with binders, such as theorem provers or higher-order compilers, are regularly used for mission-critical purposes, and must be both reliable and performant. Formally proving such programs using as much automation as possible is highly desirable. In this paper, we propose a generic approach to handle datatypes with binders both in the program and its specification in a way that facilitates automated reasoning about such datatypes and also leads to a reasonably efficient code. Our method is implemented in the Why3 environment for program verification. We validate it on the examples of a lambda-interpreter with several reduction strategies and a simple tableaux-based theorem prover.