no code implementations • 25 Jan 2023 • Priyanka Golia, Subhajit Roy, Kuldeep S. Meel
In QBF, an existentially quantified variable is allowed to depend on all universally quantified variables in its scope.
1 code implementation • 12 Aug 2021 • Priyanka Golia, Friedrich Slivovsky, Subhajit Roy, Kuldeep S. Meel
In this paper, we propose four algorithmic improvements for a data-driven framework for functional synthesis: using a dependency-driven multi-classifier to learn candidate function, extracting uniquely defined functions by interpolation, variables retention, and using lexicographic MaxSAT to repair candidates.
1 code implementation • 19 May 2021 • Priyanka Golia, Subhajit Roy, Kuldeep S. Meel
Over the past decade, syntax-guided synthesis (SyGuS) has emerged as a dominant approach for program synthesis where in addition to the specification $\varphi$, the end-user also specifies a grammar $L$ to aid the underlying synthesis engine.
2 code implementations • 14 May 2020 • Priyanka Golia, Subhajit Roy, Kuldeep S. Meel
On an extensive and rigorous evaluation over 609 benchmarks, we demonstrate that Manthan significantly improves upon the current state of the art, solving 356 benchmarks in comparison to 280, which is the most solved by a state of the art technique; thereby, we demonstrate an increase of 76 benchmarks over the current state of the art.