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VMCAI 2017
Sun 15 - Tue 17 January 2017
co-located with POPL 2017

Induction is a key element of state-of-the-art verification techniques. Automatically synthesizing and verifying inductive invariants is at the heart of Model Checking of safety properties. In this paper, we study the relationship between two popular approaches to synthesizing inductive invariants: SAT-based Model Checking (SAT-MC) and Machine Learning-based Invariant Synthesis (MLIS). Our goal is to identify and formulate the theoretical similarities and differences between the two frameworks. We focus on two flagship algorithms: IC3 (an instance of SAT-MC) and ICE (an instance of MLIS). We show that the two frameworks are very similar yet distinct. For a meaningful comparison, we introduce RICE, an extension of ICE with relative induction and show how IC3 can be implemented as an instance of RICE. We believe this work contributes to the understanding of inductive invariant synthesis and will serve as a foundation for further improvements to both SAT-MC and MLIS algorithms.

Mon 16 Jan
Times are displayed in time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:00 - 17:30: VMCAI - Symbolic analysis and invariant synthesis at Amphitheater 44
Chair(s): Constantin EneaLIAFA, Université Paris Diderot
VMCAI-2017-papers16:00 - 16:30
VMCAI-2017-papers16:30 - 17:00
Yakir Vizel, Arie GurfinkelUniversity of Waterloo, Sharon ShohamTel Aviv university, Sharad MalikPrinceton University
VMCAI-2017-papers17:00 - 17:30
Lukáš Holík, Martin HruskaBrno University of Technology , Ondrej LengalBrno University of Technology , Adam RogalewiczBrno University of Technology , Tomas VojnarBrno University of Technology