SBV: SMT Based Verification in Haskell

Express properties about Haskell programs and automatically prove them using SMT solvers.

        $ 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

The function prove has the following type:

        prove :: Provable a => a -> IO ThmResult

The class Provable comes with instances for n-ary predicates, for arbitrary n. The predicates are just regular Haskell functions over symbolic signed and unsigned bit-vectors. Functions for checking satisfiability (sat and allSat) are also provided. In addition, functions using the SBV library can be compiled to C automatically.

Build Status

SBV uses Travis-CI's automated build infrastructure, making a build for each commit. Current build status:

Resources

The SBV library is hosted at [http://github.com/LeventErkok/sbv](http://github.com/LeventErkok/sbv).

The hackage site [http://hackage.haskell.org/package/sbv](http://hackage.haskell.org/package/sbv) is the best place for details on the API and the example use cases.

Comments, bug reports, and patches are always welcome.

Overview

The Haskell SBV library provides support for dealing with Symbolic Bit Vectors in Haskell. It introduces the types:

• SBool: Symbolic Booleans (bits).
• SWord8, SWord16, SWord32, SWord64: Symbolic Words (unsigned).
• SInt8, SInt16, SInt32, SInt64: Symbolic Ints (signed).
• SInteger: Symbolic unbounded integers (signed).
• SReal: Symbolic infinite precision algebraic reals (signed).
• Arrays of symbolic values.
• Symbolic polynomials over GF(2^n ), polynomial arithmetic, and CRCs.
• Uninterpreted constants and functions over symbolic values, with user defined axioms.
• Uninterpreted sorts, and proofs over such sorts, potentially with axioms.

The user can construct ordinary Haskell programs using these types, which behave very similar to their concrete counterparts. In particular these types belong to the standard classes Num, Bits, (custom versions of) Eq and Ord, along with several other custom classes for simplifying bit-precise programming with symbolic values. The framework takes full advantage of Haskell's type inference to avoid many common mistakes.

Furthermore, functions built out of these types can also be:

• proven correct via an external SMT solver (the prove function)
• checked for satisfiability (the sat, and allSat functions)
• used in synthesis (the sat function with existentials)
• optimized with respect to cost functions (the optimize, maximize, and minimize functions)
• quick-checked
• used in concrete test case generation (the genTest function), rendered as values in various languages, including Haskell and C.

If a predicate is not valid, prove will return a counterexample: An assignment to inputs such that the predicate fails. The sat function will return a satisfying assignment, if there is one. The allSat function returns all satisfying assignments, lazily.

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

Use of SMT solvers

The SBV library uses third-party SMT solvers via the standard SMT-Lib interface [http://goedel.cs.uiowa.edu/smtlib/](http://goedel.cs.uiowa.edu/smtlib/).

Currently, we fully support the Z3 SMT solver from Microsoft, and the Yices SMT solver from SRI. Both solvers are available for Windows, Linux, and Mac OSX.

Other SMT solvers can be used with SBV as well, with a relatively easy hook-up mechanism. Please do get in touch if you plan to use SBV with any other solver.

Prerequisites

You should have at least one of Z3 (download), or Yices (download) (version 2.X) installed on your machine, preferably both. Note that z3 is the default solver used by 'sat', 'allSat', 'prove', etc. commands. To use "yices", use the 'satWith', 'proveWith', 'allSatWith' variants.

Make sure the executables for the solvers are in your path. Alternatively, you can specify the location of the yices executable in the environment variable SBV_YICES and the options to yices in SBV_YICES_OPTIONS. (The default for the latter is "-m -f"). Similarly the environment variables SBV_Z3 and SBV_Z3_OPTIONS can be used for choosing executable location and custom options for Z3. (The default for the latter is "/in /smt2" on Windows and "-in -smt2" on Mac and Linux. You should use Z3 version 4.1 or later.)

Examples

Please see the files under the Examples directory for a number of interesting applications and use cases. Amongst others, it contains solvers for Sudoku and N-Queens puzzles as mandatory SMT solver examples in the Puzzles directory.

Installation

The SBV library is cabalized. Assuming you have cabal/ghc installed, it should merely be a matter of running

     cabal install sbv

Please see INSTALL for installation details.

Once the installation is done, you can run the executable SBVUnitTests which will execute the regression test suite for SBV on your machine to ensure all is well.

Copyright, License

The SBV library is distributed with the BSD3 license. See COPYRIGHT for details. The LICENSE file contains the BSD3 verbiage.

Thanks

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.