### SyGuS-Comp 2018: Results and Analysis

Rajeev AlurDana FismanSaswat PadhiRishabh SinghAbhishek Udupa

The 5 th Annual Syntax-Guided Synthesis Competition, 2018
⟨ SyGuS-Comp 2018 ⟩

###### Abstract

Syntax-guided synthesis (SyGuS) is the computational problem of finding an implementation $f$ that meets both a semantic constraint given by a logical formula $\varphi$ in a background theory $\mathbb{T}$, and a syntactic constraint given by a grammar $G$, which specifies the allowed set of candidate implementations. Such a synthesis problem can be formally defined in the SyGuS input format (SyGuS-IF), a language that is built on top of SMT-LIB.

The syntax-guided synthesis competition (SyGuS-Comp) is an effort to facilitate, bring together and accelerate research and development of efficient solvers for SyGuS by providing a platform for evaluating different synthesis techniques on a comprehensive set of benchmarks. In the 5th SyGuS-Comp, five solvers competed on over $1600$ benchmarks across various tracks. This paper presents and analyses the results of this year’s (2018) SyGuS competition.

###### BibTeX Citation
@article{corr18/alur/syguscomp,
title         = {SyGuS-Comp 2018: Results and Analysis},
author        = {Rajeev Alur and
Dana Fisman and