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SyGuS-Comp 2016: Results and Analysis

Author(s)
Alur, Rajeev; Fisman, Dana; Singh, Rishabh; Solar-Lezama, Armando
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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Abstract
© R. Alur, D. Fisman, R. Singh & A. Solar-Lezama. Syntax-Guided Synthesis (SyGuS) is the computational problem of finding an implementation f that meets both a semantic constraint given by a logical formula φ 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.
Date issued
2016-11-22
URI
https://hdl.handle.net/1721.1/137904
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Publisher
Open Publishing Association
Citation
Alur, Rajeev, Fisman, Dana, Singh, Rishabh and Solar-Lezama, Armando. 2016. "SyGuS-Comp 2016: Results and Analysis." 229.
Version: Final published version
ISSN
2075-2180

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