mlsanityData to 14 Oct 2026

SyGuS-Comp 2017: Results and Analysis

arXiv 1711.11438 ↗First posted 29 Nov 2017cs.SE cs.LG cs.PLcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2017.

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