Results and Analysis of SyGuS-Comp'15

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...

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Main Authors: Rajeev Alur, Dana Fisman, Rishabh Singh, Armando Solar-Lezama
Format: Article
Language:English
Published: Open Publishing Association 2016-02-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1602.01170v1
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author Rajeev Alur
Dana Fisman
Rishabh Singh
Armando Solar-Lezama
author_facet Rajeev Alur
Dana Fisman
Rishabh Singh
Armando Solar-Lezama
author_sort Rajeev Alur
collection DOAJ
description 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 two specialized tracks: a track for conditional linear arithmetic, where the grammar need not be specified and is implicitly assumed to be that of the LIA logic of SMT-LIB, and a track for invariant synthesis problems, with special constructs conforming to the structure of an invariant synthesis problem. This paper presents and analyzes the results of SyGuS-comp'15.
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spelling doaj.art-f51a0b77b4f3448090633d1f629a8d662022-12-21T22:50:09ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802016-02-01202Proc. SYNT 201532610.4204/EPTCS.202.3:2Results and Analysis of SyGuS-Comp'15Rajeev Alur0Dana Fisman1Rishabh Singh2Armando Solar-Lezama3 University of Pennsylvania University of Pennsylvania Microsoft Research Massachusetts Institute of Technology 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 two specialized tracks: a track for conditional linear arithmetic, where the grammar need not be specified and is implicitly assumed to be that of the LIA logic of SMT-LIB, and a track for invariant synthesis problems, with special constructs conforming to the structure of an invariant synthesis problem. This paper presents and analyzes the results of SyGuS-comp'15.http://arxiv.org/pdf/1602.01170v1
spellingShingle Rajeev Alur
Dana Fisman
Rishabh Singh
Armando Solar-Lezama
Results and Analysis of SyGuS-Comp'15
Electronic Proceedings in Theoretical Computer Science
title Results and Analysis of SyGuS-Comp'15
title_full Results and Analysis of SyGuS-Comp'15
title_fullStr Results and Analysis of SyGuS-Comp'15
title_full_unstemmed Results and Analysis of SyGuS-Comp'15
title_short Results and Analysis of SyGuS-Comp'15
title_sort results and analysis of sygus comp 15
url http://arxiv.org/pdf/1602.01170v1
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