אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Constrained Horn Clauses (CHCs) have emerged as a powerful framework for formal verification, enabling reasoning about program safety, invariant synthesis, model checking, and related verification tasks. Their combination of logical expressiveness and algorithmic solvability has made CHCs a central foundation for modern verification techniques. However, despite significant advances in CHC solving, reasoning about low-level bit-precise program semantics remains a major challenge for existing solvers.

Traditionally, a set of CHCs is encoded with respect to a single background theory. In the context of bit-precise verification, program semantics can naturally be encoded as CHCs modulo the theory of fixed-size bit-vectors. Alternatively, bit-precise semantics can be encoded using integer arithmetic by modeling modular and bit-wise behavior through arithmetic constraints. However, neither approach consistently yields an efficient verification procedure: reasoning directly in the bit-vector theory often limits the scalability and generalization capabilities of CHC solvers, whereas arithmetic encodings produce complex constraints that are expensive to process, especially in the presence of bit-wise operations.

To address this limitation, I will present a novel theory-modular framework for CHC satisfiability that enables coordinated reasoning across multiple background theories. The framework decomposes a CHC system into complementary fragments interpreted over different background theories and coordinates reasoning between them through sound cross-theory transformations. This modular approach combines efficient arithmetic reasoning with precise handling of bit-level operations, leveraging the strengths of both theories within a unified CHC-solving framework.

I will describe the theoretical foundations of the approach, including theory transformations, modular CHC encodings, and a satisfiability procedure for coordinated reasoning across theories. I will also present experimental results on bit-manipulating verification benchmarks, demonstrating substantial improvements over monolithic single-theory approaches. Finally, I will discuss how theory-modular reasoning can contribute to future directions in scalable and expressive CHC solving.