1 / 24

Tool-supported Program Abstraction for Finite-state Verification

Tool-supported Program Abstraction for Finite-state Verification. Matthew Dwyer 1 , John Hatcliff 1 , Corina Pasareanu 1 , Robby 1 , Roby Joehanes 1 , Shawn Laubach 1 , Willem Visser 2 , Hongjun Zheng 1 Kansas State University 1 NASA Ames Research Center/RIACS 2.

Télécharger la présentation

Tool-supported Program Abstraction for Finite-state Verification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Tool-supported Program Abstraction for Finite-state Verification Matthew Dwyer1, John Hatcliff1, Corina Pasareanu1, Robby1, Roby Joehanes1, Shawn Laubach1, Willem Visser2, Hongjun Zheng1 Kansas State University1 NASA Ames Research Center/RIACS2 http://www.cis.ksu.edu/santos/bandera

  2. symbolic state represents a set of states Original system Abstract system abstraction Safety: The set of behaviors of the abstract system over-approximates the set of behaviors of the original system Abstraction: the key to scaling up

  3. Goals of our work … Develop multiple forms of tool support for abstraction that are … … applicable to program source code … largely automated … usable by non-experts Evaluate the effectiveness of this tool support through… … implementation in the Bandera toolset … application to real multi-threaded Java programs

  4. Requirement: Application processes are guaranteed to be scheduled for their budgeted time during a scheduling unit Case Study: DEOS Kernel Honeywell Dynamic Enforcement Operating System (DEOS) • A real-time operating system for integrated modular avionics systems • Large C++ program, manually sliced and inspected • Slice translated to Java by NASA Ames • 1443 lines of code, 20 classes, 6 threads • With a known bug

  5. class Thread Environment class Scheduler User Process 1 User Process 2 class StartofPeriodEvent class ListofThreads DEOS Architecture DEOS Kernel Requirement Monitor ... if(...) assert(false); ... ... System Clock & Timer

  6. Verification of DEOS • We used Bandera and Java PathFinder (JPF) • Verification of the system exhausted 4 Gigabytes of memory without completing • no information about satisfaction of requirement • To verify property or produce a counter-example • state space must be reduced • some form of abstraction is needed

  7. int (n<0) : NEG (n==0): ZERO (n>0) : POS Signs Signs x = ZERO; if (Signs.eq(x,ZERO)) x = Signs.add(x,POS); NEG ZERO POS Data Type Abstraction Collapses data domains via abstract interpretation: Code Data domains int x = 0; if (x == 0) x = x + 1;

  8. DEOS Kernel class Thread int itsLastExecution; ... public void startChargingCPUTime(){ int cp=itsEvent.currentPeriod(); if(cp == itsLastExecution) { ... } Environment User Process 1 User Process 2 class StartofPeriodEvent int itsPeriodId = 0; ... public int currentPeriod() { return itsPeriodId; } public void pulseEvent(...) {... if(countDown == 0) { itsPeriodId=itsPeriodId + 1; ... } Variable Selection Control dependencies: 29 conditionals 16 methods 32 variables Requirement Monitor ... if(...) assert(false); ... ... System Clock & Timer

  9. DEOS Kernel class Thread int itsLastExecution; ... public void startChargingCPUTime(){ int cp=itsEvent.currentPeriod(); if(cp == itsLastExecution) { ... } Environment User Process 1 User Process 2 class StartofPeriodEvent int itsPeriodId = 0; ... public int currentPeriod() { return itsPeriodId; } public void pulseEvent(...) {... if(countDown == 0) { itsPeriodId=itsPeriodId + 1; ... } Variable Selection Control dependencies: 29 conditionals 16 methods 32 variables Requirement Monitor ... if(...) assert(false); ... ... System Clock & Timer

  10. DEOS Kernel class Thread int itsLastExecution; ... public void startChargingCPUTime(){ int cp=itsEvent.currentPeriod(); if(cp == itsLastExecution) { ... } Environment User Process 1 User Process 2 class StartofPeriodEvent int itsPeriodId = 0; ... public int currentPeriod() { return itsPeriodId; } public void pulseEvent(...) {... if(countDown == 0) { itsPeriodId=itsPeriodId + 1; ... } Unbounded! Variable Selection Data dependencies Requirement Monitor ... if(...) assert(false); ... ... System Clock & Timer

  11. DEOS Kernel class Thread int itsLastExecution; ... public void startChargingCPUTime(){ int cp=itsEvent.currentPeriod(); if(cp == itsLastExecution) { ... } Environment User Process 1 User Process 2 class StartofPeriodEvent int itsPeriodId = 0; ... public int currentPeriod() { return itsPeriodId; } public void pulseEvent(...) {... if(countDown == 0) { itsPeriodId=itsPeriodId + 1; ... } Attaching Abstract Types SIGNS SIGNS Requirement Monitor ... if(...) assert(false); ... SIGNS ... System Clock & Timer

  12. DEOS Kernel class Thread Signs itsLastExecution; ... public void startChargingCPUTime(){ Signs cp=itsEvent.currentPeriod(); if(Signs.eq(cp,itsLastExecution)){ ... } Environment User Process 1 User Process 2 class StartofPeriodEvent Signs itsPeriodId = ZERO; ... public Signs currentPeriod() { return itsPeriodId; } public void pulseEvent(...) {... if(countDown == 0) { itsPeriodId=Signs.add(itsPeriodId ,POS);... } Code Transformation Requirement Monitor ... if(...) assert(false); ... ... System Clock & Timer

  13. Verification of Abstracted DEOS • JPF completed the check • produced a 464 step counter-example • Does the counter-example correspond to a feasible execution? • difficult to determine • because of abstraction, we may get spurious errors • We re-ran JPF to perform a customized search • found a guaranteed feasible 318 step counter-example

  14. Our hypothesis Abstraction of data domains is necessary Automated support for • Defining abstract domains (and operators) • Selecting abstractions for program components • Generating abstract program models • Interpreting abstract counter-examples will make it possible to • Scale property verification to realistic systems • Ensure the safety of the verification process

  15. Bandera Abstraction Specification Language PVS Concrete Type Abstract Type Inferred Type Abstraction Definition Variable x int y int done bool count int BASL Compiler …. o Object b Buffer Program Abstracted Program Abstract Code Generator Abstraction in Bandera Signs Signs Signs bool Abstraction Library int …. Point Buffer

  16. Automatic Generation Example: Start safe, then refine:+(NEG,NEG)={NEG,ZERO,POS} Forall n1,n2: neg?(n1) and neg?(n2) implies not pos?(n1+n2) Proof obligations submitted to PVS... Forall n1,n2: neg?(n1) and neg?(n2) implies not zero?(n1+n2) Forall n1,n2: neg?(n1) and neg?(n2) implies not neg?(n1+n2) Definition of Abstractions in BASL operator + add begin (NEG , NEG) -> {NEG} ; (NEG , ZERO) -> {NEG} ; (ZERO, NEG) -> {NEG} ; (ZERO, ZERO) -> {ZERO} ; (ZERO, POS) -> {POS} ; (POS , ZERO) -> {POS} ; (POS , POS) -> {POS} ; (_,_) -> {NEG,ZERO,POS}; /* case (POS,NEG),(NEG,POS) */ end abstraction Signs abstracts int begin TOKENS = { NEG, ZERO, POS }; abstract(n) begin n < 0 -> {NEG}; n == 0 -> {ZERO}; n > 0 -> {POS}; end

  17. Compiled Compiling BASL Definitions abstraction Signs abstracts int begin TOKENS = { NEG, ZERO, POS }; abstract(n) begin n < 0 -> {NEG}; n == 0 -> {ZERO}; n > 0 -> {POS}; end operator + add begin (NEG , NEG) -> {NEG} ; (NEG , ZERO) -> {NEG} ; (ZERO, NEG) -> {NEG} ; (ZERO, ZERO) -> {ZERO} ; (ZERO, POS) -> {POS} ; (POS , ZERO) -> {POS} ; (POS , POS) -> {POS} ; (_,_)-> {NEG, ZERO, POS}; /* case (POS,NEG), (NEG,POS) */ end public class Signs { public static final int NEG = 0; // mask 1 public static final int ZERO = 1; // mask 2 public static final int POS = 2; // mask 4 public static int abs(int n) { if (n < 0) return NEG; if (n == 0) return ZERO; if (n > 0) return POS; } public static int add(int arg1, int arg2) { if (arg1==NEG && arg2==NEG) return NEG; if (arg1==NEG && arg2==ZERO) return NEG; if (arg1==ZERO && arg2==NEG) return NEG; if (arg1==ZERO && arg2==ZERO) return ZERO; if (arg1==ZERO && arg2==POS) return POS; if (arg1==POS && arg2==ZERO) return POS; if (arg1==POS && arg2==POS) return POS; return Bandera.choose(7); /* case (POS,NEG), (NEG,POS) */ }

  18. Data Type Abstractions • Library of abstractions for base types contains: • Range(i,j),i..j modeled precisely, e.g., Range(0,0) is the signs abstraction • Modulo(k), Set(v,…) • Point maps all concrete values to unknown • User extendable for base types • Array abstractions: index & element abstractions • Class abstractions: abstract each field

  19. Interpreting Results • For an abstracted program, a counter-example may be infeasible because: • Over-approximation introduced by abstraction • Example: x = -2; if(x + 2 == 0) then ... x = NEG; if(Signs.eq(Signs.add(x,POS),ZERO)) then ... {NEG,ZERO,POS}

  20. Choose-free state space search • Theorem [Saidi:SAS’00] Every path in the abstracted program where all assignments are deterministic is a path in the concrete program. • Bias the model checker • to look only at paths that do not include instructions that introduce non-determinism • JPF model checker modified • to detect non-deterministic choice (i.e. calls to Bandera.choose()); backtrack from those points

  21. State space searched Undetectable Violation Detectable Violation Choice-bounded Search choose() X X

  22. Comparison to Related Work • Predicate abstraction (Graf/Saidi) • We use PVS to abstract operator definitions, not complete systems • We can reuse abstractions for different systems • Tool support for program abstraction • e.g., SLAM, JPF, Feaver • Abstraction at the source-code level • Supports multiple checking tools • e.g., JPF, Java Checker/Verisoft, FLAVERS/Java, … • Counter-example analysis • Theorem prover based (InVest) • Forward simulation (Clarke et. al.)

  23. Status • Bandera supports abstraction • Library of base type abstractions • Tool-support for user-defined abstraction • Array abstractions • Finding feasible counter-examples • Surprisingly effective on realistic code • 1000s of lines, 10s of threads • Non-trivial data that influences control

  24. Ongoing Work • Extending abstractions • Heap abstractions • Symbolic abstractions • Automated support for selection • Counter-example driven refinement • Environments and abstraction • Discrete-time abstractions • Exploit scheduling information from RT Java

More Related