CVC4 1.4 released

We are delighted to announce version 1.4 of CVC4, the open-source flagship SMT solver developed at New York University and the University of Iowa, available at

Version 1.4 features a new decision procedure for a theory of finite sets, numerous improvements to arithmetic, strings, bitvectors, and other theories, improved handling of quantified assertions, generally improved usability and stability, and many bugfixes.  This 1.4 release is very near to the version submitted for this year’s CASC and SMT-COMP competitions.

We welcome feedback, feature requests, contributions, and collaborations.  It is our hope that CVC4 will become a research platform for a broad and diverse set of users and developers.  If you are interested in getting involved with the project, please contact a member of the development team:

  •   Clark Barrett (NYU, project leader)
  •   Cesare Tinelli (U Iowa, project leader)
  •   Kshitij Bansal (NYU)
  •   François Bobot (Paris-Diderot University)
  •   Chris Conway (Google)
  •   Morgan Deters (NYU)
  •   Liana Hadarean (NYU)
  •   Dejan Jovanović (SRI)
  •   Tim King (NYU)
  •   Tianyi Liang (U Iowa)
  •   Andrew Reynolds (EPFL)

The development of CVC4 is supported in part by the following organizations:

  • The Air Force Office of Scientific Research (award FA9550-09-1-0596)
  • The Defense Advanced Research Projects Agency (award FA8750-13-2-0241)
  • Intel Corporation
  • The National Science Foundation (grants 0644299,  0914956, 1049495, 1228765, 1228768, 1320583, 1347900)
  • The Semiconductor Research Corporation (tasks 1850.001, 1850.002)

Downloads, documentation, tutorials, and more information are available at the CVC4 web site:

-The CVC4 team