Verification of object oriented programs with invariants
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Verification of object-oriented programs with invariants. Mike Barnett, Robert DeLine, Manuel Fahndrich, K. Rustan M. Leino, Wolfram Schulte ECOOP 2003 workshop on Formal Techniques for Java-like Programs. Encapsulation Seminar TAU 2005 Presented by Yossi Peery. Agenda. Introduction

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Verification of object-oriented programs with invariants

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Verification of object oriented programs with invariants

Verification of object-oriented programswith invariants

Mike Barnett, Robert DeLine,

Manuel Fahndrich, K. Rustan M. Leino,

Wolfram Schulte

ECOOP 2003 workshop on Formal Techniques for Java-like Programs

Encapsulation Seminar TAU 2005

Presented by Yossi Peery



  • Introduction

    • Motivation and Background

    • Object Invariants and Information Hiding

  • Solution

    • Basic Methodology Concepts

    • Adding Components and Subclasses

    • Modifies Clause and Dynamic Dispatching

    • Examples

  • Conclusion

Why use object invariants

Why Use Object Invariants

  • Definition:

    “A relation on an object’s data that the programmer intends for to hold”

  • Detect and prevent

    • Data corruption errors

    • Misuse of the object data

  • Formal methods allow automatic static verification of program invariants



  • Hoare’s 1972

    “Proof of correctness of data representations”

  • Eiffel

    • Pioneer Design by Contract technique

    • Dynamically checks invariants at run-time

  • Peter Muller 2001

    • An OO language providing useful guarantees about when object invariants hold

    • Uses “Universe Type System” as an ownership model

    • Object invariants modeled by a boolean function on the object’s data

Reentrancy problem

Reentrancy Problem

public method P (…)


M ();


Invariant misconception

Invariant Misconception

  • General View:

    An invariant is an implicit post-condition on every constructor and an implicit pre- and post-condition on every public method

  • Misconception:

    • Callers of an object’s methods do not need to establish the implicit pre-condition of the invariant.

    • It is sufficient to restrict modifications of the invariant to methods of an object and establish it before the method ends

Explicit invariant condition

Explicit Invariant Condition

  • It will not be possible to call M from a function P that doesn’t ensure its invariant. Or,

  • It will not be possible to call a function P that ensure the invariant from the middle of M

Problem of information hiding

Problem of Information Hiding

  • Invariants are conditions on the internal representation of objects

  • Explicit pre- and post-conditions are a breach of good information hiding

  • Conflict between revealing implementation details and the need for clients to know whether the object invariant holds

  • Same problem exists for modifies clause

Basic methodology concept

Basic Methodology Concept

  • Provide an explicit representation of when object invariants are known to hold

    • Add special public field st to every object. = Invalid  o is invalid = Valid  o is valid

    • An object’s invariant holds whenever the object is valid

  • Restrictions

    • st can appear only in routine specifications

    • st can be modified only by special new statements:

      pack & unpack

    • Objects are allocated with = Invalid

Basic methodology concept1

Basic Methodology Concept

  • InvT(o) :

    predicate to indicate that the invariant of object o of class T holds.

    Using class T from previous example:

Basic methodology concept2

Basic Methodology Concept

Restrictions and validity

Restrictions and Validity

  • Object field updates can break invariant:

    • Field update statements: o.f := E

    • Permitted only where = Invalid

    • InvT(o) can depend only on internal fields of o

  • If the above restrictions hold then the following is a program invariant:

    where o ranges over non-null objects of type T

  • Proof by induction over structure of program statements



  • Objects are usually built in a hierarchy of layered abstractions

    • A “Buffered Input Stream” can be implemented in terms of a cache and a file reader objects

  • Program correctness may depend on relations between fields of an objects and fields of its components

  • Need to expend previous restrictions



  • If t.f = u then update of u.g breaks T’s invariant

  • Need to make sure that: = Invalid => = Invalid = Valid => = Committed



  • Committed state indicates Ownership

    • If = Commited then t owns t.f

    • Creates hierarchy of owned objects

  • Use repmodifier to indicate that a field is a component:

    private rep f : U;

  • Object invariants can now depend on this.f0.f1.f2. … .g where fi are declared with the repmodifier



st : { Invalid , Valid, Committed}

CompT(o) = { o.f : f is a rep field in T }



  • Program Invariant:

  • Unique Ownership:

  • Ownership Transfer:



  • Object divided into class frames

  • Each frame can be valid or invalid

    • possible subsets

  • Consider only nonempty prefixes

    • { object }

    • { object, A }

    • { object, A, B }

New encoding

New Encoding

  • Instead of st:

    • Special field inv holdstype of most derived valid class

    • Special field committed is boolean indicating if object is committed

      committed = TRUE => inv = type(o)

  • New objects of type T should return from theconstructor as:

    inv = T & !commited

  • Field updates of subclass allowed if object is “sufficiently unpacked”

  • Invariants may contain fields of subclasses

New encoding1

New Encoding

T extends S

ois any subclass ofT

Soundness theorem

Soundness Theorem

The following are program invariants

(ranges over non-null objects; <: is the subclass relationship)

Proof shows the conditions are maintained for all actions that extend the quantification range or change values of object fields

Modifies clause

Modifies Clause

  • Model access to an object field by changes to the program heap:

    • Heap is a global 2 dimensional array indexed by object references and field names

    • Location if o.f is modeled by Heap[o,f]

  • Modifies Clause contains a set of heap locations the routine is allowed to modify

  • Routines are allowed to allocate new objects and modify their state

    • Special field alloc denotes allocated objects

Modifies clause1

Modifies Clause

  • Post-condition for modifies clause W:

  • Innovation: allow every routine to modify fields of commited objects:

  • Implementation Hiding

    • Use special expression E.{ T }

    • T = { class name, type(o) for object-valued expression o }

    • Denotes all regular fields of object E declared in class T and its super classes

Dynamic dispatch

Dynamic Dispatch

  • pack and unpack statements need to specify which type they are unpacking

    • Need to state the exact value of inv as a precondition

    • Limits use of dynamic dispatching

  • Innovation:

    • Use special expression: inv = 1

    • For caller 1 means type(this)

    • For implementation in class T, 1 means T

  • How can this be sound?

Dynamic dispatch1

Dynamic Dispatch

  • Soundness:

    • For declaration of dynamic dispatched method M, introduce a procedure named M with specification:

      inv = type(this)

    • For implementation of M in class T introduce a procedure [email protected] with specification: inv = T

    • Body of procedure M looks at type of this and calls corresponding procedure [email protected](this)

    • Body of [email protected] is like that of method M in T except that any call for super class, super.M(…) is replaced with [email protected]

    • Every class must supply an implementation for every dynamically dispatched methoddeclared in the class or its super class

  • Extend 1 for the modifies clause: E.{1}



  • Can be used as a super class or a component

  • Subclass implementation can modify all regular fields of super class.



Constructor must copy char array



Constructor can capture the reader



  • Lexer can relinquish the underlying reader

  • Reader must be relinquished in an uncommitted state

  • Implementation leaves Lexer in an inconsistent state so that GetToken can no longer be invoked



  • Programmer must be aware at which points an object invariant can be relied upon

  • Presented method that provides programmers with a flexible and precise way to specify their intensions about object invariants

  • Ownership method allows a single valid owner per object at a time but doesn’t confine object aliasing and allows multiple read access

  • Methodology allows for both static verification and dynamic checking

Current work

Current Work

  • Spec #

    • Extension of C# with method contracts

    • Compiler and static verifier tools integrate with visual studio .NET

  • Boogie

    • Spec# static program verifier

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