program synthesis with jennisys k. rustan m. leino research in software engineering (rise),...

Program synthesis with Jennisys

K. Rustan M. LeinoResearch in Software Engineering (RiSE), Microsoft Research, Redmond

Aleksandar MilicevicMIT

IFIP Working Group 2.3 meetingWinchester, UK22 September 2011

Post-mortem verification

TimelineIdea

CodeTest Verifi

catio

n

Ouch!

Need

specifications

Forward-looking design

More help during software designMore expressive languages

RefinementSynthesis…

This is where programs begin

Jennisys

Jennisys programs

Each type has:Public interfaceData modelCode

Example: Public interfaceinterface ExtensibleArray[T] { var Contents: seq[T] constructor Init() Contents := [] method Get(i) returns (t) requires 0 <= i && i < |Contents| t := Contents[i] method Set(i, t) requires 0 <= i && i < |Contents| Contents := Contents[i := t] method Append(t) Contents := Contents + [t]}

ExtensibleArray data structure

Extensible-

Array[T]

Append( )

.elements


Extensible-

Array[T]

Append( )

.elements

.more


Extensible-

Array[T] .elements

.more

ExtensibleArray

[array[T]]

Example: Data structure designdatamodel ExtensibleArray[T] {

var elements: array[T] var more: ExtensibleArray[array[T]] frame elements, more, more.Contents[*] invariant elements.Length = 256 256 < |Contents| ==> more != null more.Contents[*].Length = 256 val M = if more = null then 0 else 256 * |more.Contents| Contents[i] = elements[i – M] where i in M <= i Contents[i] = more.Contents[i / 256][i % 256] where i in i < M}

Example: Data structure designdatamodel ExtensibleArray<T> {

var elements: array<T> var more: ExtensibleArray<array<T>>? frame elements, more, more.Contents[*] invariant elements.Length = 256 256 < |Contents| ==> more != null more.Contents[*].Length = 256 val M = if more = null then 0 else 256 * |more.Contents| Contents[i] = elements[i – M] where i in M <= i Contents[i] = more.Contents[i / 256][i % 256] where i in i < M}

Can all operations be

implemented with

this design?

Example: Data structure designdatamodel ExtensibleArray<T> {

var elements: array<T> var more: ExtensibleArray<array<T>>? frame elements, more, more.Contents[*] invariant elements.Length = 256 256 < |Contents| ==> more != null more.Contents[*].Length = 256 val M = if more = null then 0 else 256 * |more.Contents| Contents[i] = elements[i – M] where i in M <= i Contents[i] = more.Contents[i / 256][i % 256] where i in i < M}

Is this good?|Contents| = 5more ≠ null|more.Contents| = 100

Example: Implementation

code ExtensibleArray[T] {

}Code is

generated

from public

interface and

data modelCode generated automaticallyProgrammer supplies hints

E.g., “loop n”, “e[n] := t”Programmer uses sketches, holes[Bodik, Solar-Lezama, …]

As last resort, code is written manually

Jennisys, abstractlyinterface T {

var aconstructor

Init()S(a)

}

datamodel T {var cinvariant R(a,

c)}

Jennisys, abstractlyinterface T {

var aconstructor

Init()a := E

}


c)}

Synthesis basics:

Constraint solvinginterface T {

var aconstructor

Init()a := E

}


c)}

var a, c

a := Ec :[ R(a, c) ]

constraint solve to find feasible a,c

here

Synthesis basics:

Constraint solvinginterface T {

var aconstructor

Init()a := E

}


c)}

var a, c

a := Eassume R(a, c)assert false

attempt to verify and look

at resulting counterexampl

e model

a := 0 with a = ca := 0 with a = c+d

Demo

Extrapolationinterface T {

var aconstructor

Init(p)a := E(p)

}

datamodel T {var cinvariant R(a, c)

}

Constraint solving gives possible values for a,p,c

From this, we want to extrapolate a value for c in terms of p

Extrapolation: Exampleinterface T {

var aconstructor

Init(p)a := p

}

datamodel T {var cinvariant a = c

}

Sample values:a=7, p=7, c=7

Match up c with p

Custom spec evaluationinterface T {

var aconstructor

Init(p,q)a := {p + q}

}

datamodel T {var cinvariant a = {c}

}

Partially evaluate spec with the sample values for non-parameters

Match things upa={7}, p=3, q=4,

c=7

{7} = {p+q}, {7} = {7}

a := p+q with a = ca := {p+q} with a = {c}

Demo

Program extrapolation, so far

Constraint solving: get sample valuesPartial evaluation: simplify spec using samples valuesUnification: match things up

What if it doesn’t work?

Inferring branch structure

Program extrapolationAttempt to verifyIf resulting program does not verify:

Infer the needed guard using custom spec evaluationRepeat synthesis for remaining cases

Branch structure: Exampleinterface T {

var aconstructor

Init(p,q)a := {p, q}

} datamodel T {

var c, dinvariant a =

{c,d} c ≤ d

}

a={7}, p=3, q=4, c=3, d=4

Match c,d with p,qWorks only if p≤qGenerate ifRepeat assuming ¬(p≤q)

if (p≤q) {c,d := p,q

} else {c,d := q,p

}

Objects

Each interface denotes an instantiable type, that is, a class of objectsA data model can also make use of objects

SimpleCell

Demo

Delegation

An interface has model fieldspart of the specificationnot part of compiled code

If type X uses objects of type Y, its code should:

not set Y’s model fields directly, butuse Y’s interface to call constructors and methods to achieve the desired result

ConclusionsSynthesis by combination of:

Constraint solvingSymbolic/concrete evaluationUnification

More to do:MethodsFormalization, better understand the technique…

Reflection:Is this how we should be programming?

program synthesis with jennisys k. rustan m. leino research in software engineering (rise),...

Documents