Solving String Constraints with Lengths by Stabilization

journal article in Web of Science

English

We present a new algorithm for solving string constraints. The algorithm builds upon a recent method for solving word equations and regular constraints that interprets string variables as languages rather than strings and, consequently, mitigates the combinatorial explosion that plagues other approaches. We extend the approach to handle linear integer arithmetic length constraints by combination with a known principle of equation alignment and splitting, and by extension to other common types of string constraints, yielding a fully-fledged string solver. The ability of the framework to handle unrestricted disequalities even extends one of the largest decidable classes of string constraints, the chain-free fragment. We integrate our algorithm into a DPLL-based SMT solver. The performance of our implementation is competitive and even significantly better than state-of-the-art string solvers on several established benchmarks obtained from applications in verification of string programs.

string constraints SMT solver stabilization satisfiability

CHEN, Y.; CHOCHOLATÝ, D.; HAVLENA, V.; HOLÍK, L.; LENGÁL, O.; SÍČ, J.

25. 10. 2023

2475-1421

Proceedings of the ACM on Programming Languages

7

10

United States of America

2112

2141

30

http://dx.doi.org/10.1145/3622872