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Ştefan Ciobâcă

Publications and source records attributed to Ştefan Ciobâcă.

7 recordsLinked to original sources
arXiv2026

Formalizing the Omega Test in Dafny

We present a formalization in Dafny of the Omega Test, an algorithm used to decide the satisfiability of a system of inequalities. The implementation defines executable representations for rational numbers, linear expressions, inequalities, equalities, divisibility constraints, and systems of constraints, together with their semantic interpretation through valuations. We fully specify and verify the implementation in Dafny. We describe the lessons learned and how the formalization process led to new insights into the algorithm.

cs.LO↗
arXiv2025

The Design of an Interactive Proof Mode for Dafny

We propose to extend the Dafny system with an interactive proof mode. We present a motivating example, how the IPM works, including the main design choices we make, and a prototype implementation.

cs.LO↗
arXiv2020

Who Verifies the Verifiers? A Computer-Checked Implementation of the DPLL Algorithm in Dafny

We build a SAT solver implementing the DPLL algorithm in the verification-enabled programming language Dafny. The resulting solver is fully verified (soundness, completeness and termination are computer checked). We benchmark our Dafny solver and we show that it is just as efficient as an equivalent DPLL solver implemented in C# and roughly two times less efficient than an equivalent solver written in C++. We conclude that auto-active verification is a promising approach to increasing trust in SAT solvers, as it combines a good trade-off between execution speed and degree of trustworthiness of the final product.

cs.LO↗
arXiv2020

Operationally-based Program Equivalence Proofs using LCTRSs

We propose an operationally-based deductive proof method for program equivalence. It is based on encoding the language semantics as logically constrained term rewriting systems (LCTRSs) and the two programs as terms. The main feature of our method is its flexibility. We illustrate this flexibility in two applications, which are novel. For the first application, we show how to encode low-level details such as stack size in the language semantics and how to prove equivalence between two programs operating at different levels of abstraction. For our running example, we show how our method can prove equivalence between a recursive function operating with an unbounded stack and its tail-recursive optimized version operating with a bounded stack. This type of equivalence checking can be used to ensure that new, undesirable behavior is not introduced by a more concrete level of abstraction. For the second application, we show how to formalize read-sets and write-sets of symbolic expressions and statements by extending the operational semantics in a conservative way. This enables the relational verification of program schemas, which we exploit to prove correctness of compiler optimizations, some of which cannot be proven by existing tools. Our method requires an extension of standard LCTRSs with axiomatized symbols. We also present a prototype implementation that proves the feasibility of both applications that we propose.

cs.LO↗
arXiv2019

Verifying the DPLL Algorithm in Dafny

Modern high-performance SAT solvers quickly solve large satisfiability instances that occur in practice. If the instance is satisfiable, then the SAT solver can provide a witness which can be checked independently in the form of a satisfying truth assignment. However, if the instance is unsatisfiable, the certificates could be exponentially large or the SAT solver might not be able to output certificates. The implementation of the SAT solver should then be trusted not to contain bugs. However, the data structures and algorithms implemented by a typical high-performance SAT solver are complex enough to allow for subtle programming errors. To counter this issue, we build a verified SAT solver using the Dafny system. We discuss its implementation in the present article.

cs.LO↗
arXiv2019

Reducing Total Correctness to Partial Correctness by a Transformation of the Language Semantics

We give a language-parametric solution to the problem of total correctness, by automatically reducing it to the problem of partial correctness, under the assumption that an expression whose value decreases with each program step in a well-founded order is provided. Our approach assumes that the programming language semantics is given as a rewrite theory. We implement a prototype on top of the RMT tool and we show that it works in practice on a number of examples.

cs.LO↗