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Formal Methods of Systems Specification Logical Specification of Hard- and Software

Formal Methods of Systems Specification Logical Specification of Hard- and Software. Prof. Dr. Holger Schlingloff Institut für Informatik der Humboldt Universität and Fraunhofer Institut für Rechnerarchitektur und Softwaretechnik. Assertion Languages. OCL is an assertion language for UML

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Formal Methods of Systems Specification Logical Specification of Hard- and Software

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  1. Formal Methods of Systems SpecificationLogical Specification of Hard- and Software Prof. Dr. Holger Schlingloff Institut für Informatik der Humboldt Universität and Fraunhofer Institut für Rechnerarchitektur und Softwaretechnik

  2. Assertion Languages • OCL is an assertion language for UML • Similar assertian languages have been defined for various programming languages • Java Modeling Language (JML) for Java • Spec# for C# • PSL for VHDL • General idea • static analysis: try to verify the assertions without running the program • dynamic supervision: use the assertions to influence the execution of the program

  3. Example: JML Reference: http://www.eecs.ucf.edu/~leavens/JML/jmlrefman/ • using Hoare style pre- and postconditions and invariants • specifications are added as Java annotations (comments) to the Java program • can also be stored in separate specification files //@ <JML specification> /*@ <JML specification> @*/

  4. JML Syntax • assert  • Defines a JML assertion • requires  • Defines a precondition on the method that follows • ensures  • Defines a postcondition on the method that follows • invariant  • Defines an invariant property of the class • signals  • Defines a condition on when a given exception can be thrown by the method that follows • assignable  • Defines which fields are allowed to be assigned to by the method that follows

  5. JML expressions • Boolean Java expressions • \result  • identifier for the return value of the method that follows • \old(<name>)  • modifier to refer to the value of variable <name> at the time of entry into a method (OCL @pre!) • \forall, \exists  • universal and existential quantifier (for arrays etc.) • range of quantification limited! • a ==> b, a<==>b  • logical implications

  6. Example publicclass Account { publicstaticfinalintMAX_BALANCE = 1000; privateint balance; privateboolean isLocked = false; //@ invariant balance >= 0 && balance <= MAX_BALANCE; //@ assignable balance; //@ ensures balance == 0; public Account() { } //@ requires amount > 0; //@ ensures balance = \old(balance) + amount; publicvoid deposit(int amount) { … } //@ ensures isLocked == true; publicvoid lockAccount() { this.isLocked = true; } }

  7. Dynamic Analysis • Generate extra code from annotations to check violations • assert: check at the given statement • requires: check before entering the method • ensures: check at the end of the method • invariant: check after each statement • obviously, only when statement might affect expression • Use assertions to generate JUnit test cases • set preconditions, get postconditions

  8. Static Analysis Tools • Abstract interpretation tries to calculate possible values of variables • sound approximation to the possible ranges • e.g., i  [-maxint..16], [17..21], [22..maxint] i += 1  i  [-maxint..17], [18..22], [23..maxint] • Formally, an abstraction function is a mapping from a (large) concrete domain into a (small) abstract domain; e.g., int  {neg, zero, pos} • operations on concrete objects are replaced by operations on abstract objects

  9. JML Screenshot www-sop.inria.fr/.../bcwp/img/jmlCompile.jpeg

  10. Spec# and Spec Explorer Microsoft‘s Road to Specification • Evolving algebras (Egon Börger et al., 1990‘s) • „Philosophical“ background • ASMs and the ASML (Yuri Gurevich et al.) • Theoretical background • Spec# (Wolfram Schulte et al.) • Interactive program verification • Spec Explorer (Wolfgang Grieskamp et al.) • Support for model-based testing

  11. Spec# Overview http://www.cs.nuim.ie/~rosemary/ETAPS-SpecSharp-Tutorial.pdf • Aiming at program verification • Based on C# (which in turn is based on C++ and Java) • Spec# is an extension of C# by non-null types, method contracts, object invariants, and checked exceptions • can be seen as a programming language of its own • Tool support • compiler • statically enforces non-null types • emits run-time checks for method contracts and invariants • records the contracts as metadata for consumption by downstream tools • static program verifier „Boogie“ • generates logical verification conditions from a Spec# program • uses automatic theorem prover • analyzes the verification conditions to prove the correctness of the program or find errors in it

  12. Use of Spec# • Write each class containing methods and their specification together in a Spec# source file • Invariants that constrain the data fields of objects may also be included • Run the verifier (either from IDE or command line) • push button, wait (maybe long), get a list of compilation/verification error messages • Interaction with the verifier is done by modifying the source file

  13. Screenshot • Freely available, needs MSVS .Net Precondition not satisfied Wrong input Log messages for programmer

  14. Example // non-null argument assume: not checked but taken as granted assert: statically or dynamically validated

  15. Swap Example • How can the proof be performed?

  16. Spec# Verification • focus on automation of verification rather than full functional correctness of specifications • No verification of liveness (termination or other temporal eventuality properties) • No arithmetic overflow checks (yet) • Active research on extensions (e.g. comprehensions)

  17. Quantifiers • Quantification on finite domains! • Verification can be expensive (search all values)

  18. Loop Invariants • Can help the solver to reach its goal !

  19. Loop Invariants • Can help the solver to reach its goal !

  20. Spec#: if (condition) S else T BoogiePL: Thenbranch Else branch assumecondition; S assume ! condition; T BoogiePL • Simple procedural language for .Net

  21. BoogiePL syntax

  22. BoogiePL Verifier • Based on HP‘s „Simplify“ theorem prover • http://www.hpl.hp.com/techreports/2003/HPL-2003-148.pdf • first-order theorem prover (satisfiability) • includes complete decision procedures for the theory of equality and for linear rational arithmetic • heuristics for linear integer arithmetic • propositional connectives are solved by backtracking • handling of quantifiers by pattern-driven instantiation (incomplete) • Translation from Boogie PL to Simplify • weakest precondition of each statement • each statement and each procedure gives rise to one verification condition

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