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Fast Interactive Verification through Strong Higher-Order Automation

Objective

Proof assistants are increasingly used to verify hardware and software and to formalize mathematics. However, despite the success stories, they remain very laborious to use. The situation has improved with the integration of first-order automatic theorem provers -- superposition provers and SMT (satisfiability modulo theories) solvers -- through middleware such as Sledgehammer for Isabelle, codeveloped by the PI; but this research has now reached the point of diminishing returns. Only so much can be done when viewing automatic provers as black boxes.

To make interactive verification more cost-effective, we propose to deliver very high levels of automation to users of proof assistants by fusing and extending two lines of research: automatic and interactive theorem proving. This is our grand challenge. Our starting point is that first-order automatic provers are the best tools available for performing most of the logical work. Our approach will be to enrich superposition and SMT with higher-order reasoning in a careful manner, to preserve their desirable properties. We will design proof rules and strategies, guided by representative benchmarks from interactive verification.

With higher-order superposition and higher-order SMT in place, we will develop highly automatic provers building on modern superposition provers and SMT solvers, following a novel stratified architecture. To reach end users, these new provers will be integrated in proof assistants, including Coq, Isabelle, and the TLA+ Proof System, and will be available as backends to more specialized verification tools. The users of proof assistants and similar tools stand to experience substantial productivity gains: In the past five years, the success rate of automatic provers on interactive proof obligations from a representative benchmark suite has risen from 47% to 77%; with this project, we aim at 90%--95% proof automation.

Field of science

  • /social sciences/sociology/industrial relations/automation
  • /natural sciences/computer and information sciences/software
  • /natural sciences/mathematics
  • /social sciences/economics and business/economics/production economics/productivity

Call for proposal

ERC-2016-STG
See other projects for this call

Funding Scheme

ERC-STG - Starting Grant

Host institution

STICHTING VU
Address
De Boelelaan 1105
1081 HV Amsterdam
Netherlands
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 994 688

Beneficiaries (2)

STICHTING VU
Netherlands
EU contribution
€ 994 688
Address
De Boelelaan 1105
1081 HV Amsterdam
Activity type
Higher or Secondary Education Establishments
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 503 750
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations