Electronic Proceedings in Theoretical Computer Science (Nov 2017)

SyGuS-Comp 2017: Results and Analysis

  • Rajeev Alur,
  • Dana Fisman,
  • Rishabh Singh,
  • Armando Solar-Lezama

DOI
https://doi.org/10.4204/EPTCS.260.9
Journal volume & issue
Vol. 260, no. Proc. SYNT 2017
pp. 97 – 115

Abstract

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Syntax-Guided Synthesis (SyGuS) is the computational problem of finding an implementation f that meets both a semantic constraint given by a logical formula phi in a background theory 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 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 this year's competition six new solvers competed on over 1500 benchmarks. This paper presents and analyses the results of SyGuS-Comp'17.