The sbv package

[Tags: bsd3, library, program]

Express properties about Haskell programs and automatically prove them using SMT (Satisfiability Modulo Theories) solvers. Automatically generate C programs from Haskell functions. The SBV library adds support for symbolic bit vectors and other symbolic types, allowing formal models of Haskell programs to be created.

   $ ghci -XScopedTypeVariables
   Prelude> :m Data.SBV
   Prelude Data.SBV> prove $ \(x::SWord8) -> x `shiftL` 2 .== 4*x
   Q.E.D.
   Prelude Data.SBV> prove $ forAll ["x"] $ \(x::SWord8) -> x `shiftL` 2 .== x
   Falsifiable. Counter-example:
     x = 128 :: SWord8

You can pick the SMT solver you want to use by importing the appropriate module. The SBV library currently works with the the following SMT solvers:

import Data.SBV
Picks the default solver, which is currently set to be Z3. (Might change in the future!)
import Data.SBV.Bridge.Z3
Picks Z3 from Microsoft (http://z3.codeplex.com/).
import Data.SBV.Bridge.Yices
Picks Yices from SRI (http://yices.csl.sri.com/)
import Data.SBV.Bridge.CVC4
Picks CVC4 from New York University and the University of Iowa (http://cvc4.cs.nyu.edu)
import Data.SBV.Bridge.Boolector
Picks Boolector from Johannes Kepler University at (http://fmv.jku.at/boolector/).

SBV introduces the following types and concepts:

Functions built out of these types can be:

Predicates can have both existential and universal variables. Use of alternating quantifiers provides considerable expressive power. Furthermore, existential variables allow synthesis via model generation.

The SBV library can also compile Haskell functions that manipulate symbolic values directly to C, rendering them as straight-line C programs.

In addition to the library, the installation will create the executable SBVUnitTests. You should run it once the installation is complete, to make sure the unit tests are run and all is well.

SBV is hosted at GitHub: http://github.com/LeventErkok/sbv. Comments, bug reports, and patches are always welcome.

The following people reported bugs, provided comments/feedback, or contributed to the development of SBV in various ways: Ian Blumenfeld, Ian Calvert, Iavor Diatchki, John Erickson, Tom Hawkins, Lee Pike, Austin Seipp, Don Stewart, Josef Svenningsson, and Nis Wegmann.

Release notes can be seen at: http://github.com/LeventErkok/sbv/blob/master/RELEASENOTES.


Properties

Versions0.9, 0.9.1, 0.9.2, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.9.7, 0.9.8, 0.9.9, 0.9.10, 0.9.11, 0.9.12, 0.9.13, 0.9.14, 0.9.15, 0.9.16, 0.9.17, 0.9.18, 0.9.19, 0.9.20, 0.9.21, 0.9.22, 0.9.23, 0.9.24, 1.0, 1.1, 1.2, 1.3, 1.4, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 2.10, 3.0, 3.1
Dependenciesarray, base (==4.*), containers, deepseq, directory, filepath, HUnit, mtl, old-time, pretty, process, QuickCheck, random, sbv, syb
LicenseBSD3
CopyrightLevent Erkok, 2010-2013
AuthorLevent Erkok
MaintainerLevent Erkok (erkokl@gmail.com)
StabilityExperimental
CategoryFormal Methods, Theorem Provers, Bit vectors, Symbolic Computation, Math, SMT
Home pagehttp://leventerkok.github.com/sbv/
Bug trackerhttp://github.com/LeventErkok/sbv/issues
Source repositoryhead: git clone git://github.com/LeventErkok/sbv.git
ExecutablesSBVUnitTests
Upload dateFri Mar 22 04:25:22 UTC 2013
Uploaded byLeventErkok
DistributionsNixOS:3.1
Downloads3108 total (195 in last 30 days)

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