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The 5 th Competition on Syntax-Guided Synthesis Rajeev Alur, Dana Fisman, Rishabh Singh and Abhishek Udupa SyGuS Idea and Definition in a Nutshell Program Synthesis Specification S High Level WHAT Synthesizer Program P Low Level

  1. The 5 th Competition on Syntax-Guided Synthesis Rajeev Alur, Dana Fisman, Rishabh Singh and Abhishek Udupa

  2. SyGuS Idea and Definition in a Nutshell

  3. Program Synthesis Specification S High Level “WHAT” Synthesizer Program P Low Level “HOW”

  4. Recent Trends in Synthesis Syntactic restrictions Specification S R on the High Level solutions domain “WHAT” Synthesizer Program P Low Level “HOW”

  5. Syntax Guided Synthesis - Idea Syntactic Specification restrictions R S Motivation: Synthesizer § Tractability § Combine Program P human expert insights with computers exhaustiveness & rapidness § Benefit progress SAT & SMT Solvers

  6. SyGuS – The Vision Programming Program Invariant Program ????? by examples Generation Sketching Optimization SyGuS IF Generic Solvers Benchmark + Compare + Compete => Boost improvement

  7. Syntax-Guided Synthesis (SyGuS) Problem Theory T § Fix a background theory T: fixes types and operations 0 + j f G § Function to be synthesized: name f along with its type t 1 Grammar v General case: multiple functions to be synthesized Synthesizer § Inputs to SyGuS problem: f 1 P v Specification j f f 2 Typed formula using symbols in T + symbol f v Context-free grammar G Characterizing the set of allowed expressions [[ G ]] (in theory T) § Computational problem: Find expression e in [[ G ]] such that j [f/e] is valid (in theory T)

  8. SyGuS as Active Learning Initial examples I Candidate Expression Learning Verification Algorithm Oracle Counterexample Fail Success Concept class: Set [[ G ]] of expressions Examples: Concrete input values 8

  9. SyGuS-Comp18 The 5 th competition on Syntax Guided Synthesis

  10. Solvers § CVC4 2018 - Andrew Reynolds (Univ. of Iowa), Haniel Barbosa (Univ. of Iowa), Andres Notzli (Stanford), Cesare Tinelli (Univ. of Iowa) and Clark Barrett (Stanford) § Horndini - Deepak D'Souza (IISc Bangalore), P. Ezudheen ( IISc Bangalore), P . Madhusudan – (UIUC), Pranav Garg (Amazon), Daniel Neider (MPI-SWS) and Shubham Ugare (IIT Guwahati) § DryadSynth - KangJing Huang (Purdue Univ.) , Xiaokang Qiu (Purdue Univ.) , Qi Tian (Nanjing University), and Yanjun Wang (Purdue Univ.) § LoopInvGen - Saswat Padhi (UCLA) ,Todd Millstein (UCLA) and Rahul Sharma (MSR) § EUSolver 2017 - Arjun Radhakrishna (MSR) and Abhishek Udupa (MSR)

  11. Tracks § General § Inv § CLIA Extensions suggestions? § PBE Strings § PBE Bitvectors

  12. Tracks Participation § CVC4-2018: all 5 tracks § EUSolver-2017: all 5 tracks § DryadSynth: CLIA and INV tacks § LoopInvGen: INV track § Horndini: INV track

  13. New Benchmarks § General (29) by Qinheping HU and Loris D’Antoni (Univ. of Wisconsin-Madison) § Invariant Generation (21+32) by Saswat Padhi (UCLA) + Kangjing Huang (Purdue Univ) § Conditional Linear arithmetic (15) by Kangjing Huang (Purdue Univ) § PBE Strings (10) by Woosul Lee (Penn)

  14. Inv Track (127) LoopInvGen score 850 784 966 428 411

  15. CLIA Track (88) DryadSynth & CVC4 Last year Last year CVC4 DryadSynh 702 solved solved 702 703 557 73/73 32/73 Outstanding improvement!

  16. PBE: Stings (118) Bitvectors (750) #1 last #4 last year year CVC4

  17. General Track (598) CVC4 Great 3703 3315 2994 improvement from last year (#2)

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