SyGuS-comp 2017: Results and analysis

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

    Research output: Contribution to journalConference articlepeer-review

    16 Scopus citations

    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 j 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.

    Original languageEnglish
    Pages (from-to)97-115
    Number of pages19
    JournalElectronic Proceedings in Theoretical Computer Science, EPTCS
    Volume260
    DOIs
    StatePublished - 28 Nov 2017
    Event6th Workshop on Synthesis, SYNT 2017 - Heidelberg, Germany
    Duration: 22 Jul 2017 → …

    ASJC Scopus subject areas

    • Software

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