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arXiv · 1611.07627

SyGuS-Comp 2016: Results and Analysis

Rajeev Alur·Dana Fisman·Rishabh Singh·Armando Solar-Lezama
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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 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 we added a new track devoted to programming by examples. This track consisted of two categories, one using the theory of bit-vectors and one using the theory of strings. This paper presents and analyses the results of SyGuS-Comp'16.

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Rajeev Alur, Dana Fisman, Rishabh Singh, Armando Solar-Lezama. 2016-11-23. SyGuS-Comp 2016: Results and Analysis. https://doi.org/10.4204/eptcs.229.13

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