Model-checking Concurrent Java Software Using the Bandera Tool Set Matthew Dwyer John Hatcliff Radu Iosif Yu Chen Georg Jung Todd Wallentine FacultyStudents.

Model-checking Concurrent Java Software Using the Bandera Tool Set Matthew Dwyer John Hatcliff Radu Iosif Yu Chen Georg Jung Todd Wallentine FacultyStudents and Post-docs Robby Roby Joehanes Venkatesh Ranganath Oksana Tkachuk (http://www.cis.ksu.edu/santos/bandera) Funding US National Science Foundation (NSF) US National Aeronautics and Space Agency (NASA) US Department of Defense Advanced Research Projects Agency (DARPA) US Army Research Office (ARO) Rockwell-Collins ATC Honeywell Technology Center and NASA Langley Sun Microsystems SAnToS Laboratory, Kansas State University, USA

Goals of the Project II. Integration with commonly used design notations, methods, and processes … UML artifacts, JML e.g., checking, specification … automatic generation of synchronization code with dedicated checking I. Provide platform for construction of and experimentation with technologies for model-checking concurrent Java software … property specification languages e.g., temp logic, state machines … model-reduction techniques e.g., abstraction, slicing, compiler-based optimizations … model-checking engines e.g., explicit-state, symbolic III. Evaluation using safety-critical military and civilian applications as well as non-critical popular open-source software … integration with development and certification of safety-critical systems.

Model Checking OK or Finite-state model Temporal logic formula Model Checker  Error trace Line 5: … Line 12: … Line 15:… Line 21:… Line 25:… Line 27:… … Line 41:… Line 47:…

What makes model-checking software difficult? Model construction OK Error trace or Finite-state model Temporal logic formula Model Checker  State explosion Problems using existing checkers: Property specification Output interpretation Line 5: … Line 12: … Line 15:… Line 21:…

Model Construction Problem Semantic gap: Model Description Model Checker Program void add(Object o) { buffer[head] = o; head = (head+1)%size; } Object take() { … tail=(tail+1)%size; return buffer[tail]; } Gap Programming Languages Model Description Languages methods, inheritance, dynamic creation, exceptions, etc. automata

Property Specification Problem Difficult to formalize a requirement in temporal logic “Between the window open and the window close, button X can be pushed at most twice.” []((open /\ <>close) -> ((!pushX /\ !close) U (close \/ ((pushX /\ !close) U (close \/ ((!pushX /\ !close) U (close \/ ((pushX /\ !close) U (close \/ (!pushX U close)))))))))) …is rendered in LTL as...

Property Specification Problem We want to write source level specifications... (((_collect(heap_b) == 1)\ && (BoundedBuffer_col.instance[_index(heap _b)].head == BoundedBuffer_col.instance[_index(heap _b)].tail) )\ || ((_collect(heap _b) == 3)\ && (BoundedBuffer_col_0.instance[_index(heap _b)].head == BoundedBuffer_col_0.instance[_index(heap _b)].tail) )\ || ((_collect(heap _b) == 0) && TRAP)) Heap.b.head == Heap.b.tail We are forced to write model level specifications... Forced to state property in terms of model rather than source:

Requirement: If a buffer instance becomes full, it will eventually become non-full. Consider multiple instances of a bounded buffer class... In general, a heap object has no program-level name that persists throughout the lifetime of the object. b1b2b3 Variables Heap object Property Specification Problem Complications due to the dynamic nature of OO software…

State Explosion Problem Moore’s law and algorithm advances can help –Holzmann: 7 days (1980) ==> 7 seconds (2000) Explosive state growth in software limits scalability Bit x1,…,xN2^N states Cost is exponential in the number of components

Output Interpretation Problem Raw error trace may be 1000’s of steps long Model Description Program void add(Object o) { buffer[head] = o; head = (head+1)%size; } Object take() { … tail=(tail+1)%size; return buffer[tail]; } Gap Error trace Line 5: … Line 12: … Line 15:… Line 21:… Line 25:… Line 27:… … Line 41:… Line 47:… Must map line listing onto model description Mapping to source is made difficult by –Semantic gap & clever encodings of complex features –multiple optimizations and transformations

Bandera: An open tool set for model-checking Java source code Checker Inputs Checker Outputs Optimization Control Transformation & Abstraction Tools Model Checkers Java Source void add(Object o) { buffer[head] = o; head = (head+1)%size; } Object take() { … tail=(tail+1)%size; return buffer[tail]; } Bandera Temporal Specification Graphical User Interface Error Trace Mapping Bandera

Addressing the Model Construction Problem Numerous analyses, optimizations, two intermediate languages, multiple back-ends Slicing, abstract interpretation, specialization Variety of usage modes: simple...highly tuned Model extraction: compiling to model checker inputs: Java Source void add(Object o) { buffer[head] = o; head = (head+1)%size; } Object take() { … tail=(tail+1)%size; return buffer[tail]; } Model DescriptionModel Compiler Static Analyses Abstract Interpretation Slicing Optimizations

Addressing the Property Specification Problem An extensible language based on field-tested temporal property specification patterns []((open /\ <>close) -> ((!pushX /\ !close) U (close \/ ((pushX /\ !close) U (close \/ ((!pushX /\ !close) U (close \/ ((pushX /\ !close) U (close \/ (!pushX U close)))))))))) Using the pattern system: 2-bounded existence Between {open} and {close} {pushX} exists atMost {2} times;

Addressing the State Explosion Problem Aggressive customization via slicing, abstract interpretation, program specialization Java Source void add(Object o) { buffer[head] = o; head = (head+1)%size; } … Model DescriptionsModel Compiler Property Generate models customized wrt property! Result: multiple models --- even as many as one per property

Addressing the Output Interpretation Problem Run error traces forwards and backwards Program state queried Heap structures navigated Locks, wait sets, blocked sets displayed Like a debugger: error traces mapped back to source Java Source void add(Object o) { buffer[head] = o; head = (head+1)%size; } Object take() { … tail=(tail+1)%size; return buffer[tail]; } Model Compiler Model Checker Intermediate Representations Error trace Line 5: … Line 12: … Line 15:… Line 21:… Model Description + simulator

Bandera Architecture BIRC BIR Simulator Abstraction Engine Slicer Analyses Translators SPIN dSPIN SMV JPF Property Tool Java Jimple Parser Error Trace Display

Bounded Buffer class BoundedBuffer { Object [] buffer; int head; /* next available slot */ int tail; /* last available slot */ int bound; /* max # of elements */ public BoundedBuffer(int b) {…} public synchronized boolean isEmpty() {…} public synchronized void add(Object o) {…} public synchronized Object take () {…} } Initialization headtail Add,Add head tail Add,Take,Take headtail

Property Specification class BoundedBuffer { Object [] buffer; int head, tail, bound; public synchronized void add(Object o) {…} public synchronized Object take () {…} } Requirement: If a buffer becomes full, it will eventually become non-full. Bandera Specification: FullToNonFull: {Full(b)} leads to {!Full(b)} globally; /** * @observable * EXP Full: (head == tail); */ forall[b:BoundedBuffer].

Property Specification Requirement: Empty buffers must added to before being taken from Bandera Specification: NoTakeWhileEmpty: {take.Return(b)} is absent after {Empty(b)} until {add.Call(b)}; forall[b:BoundedBuffer]. /** * @observable * EXP Empty: * head == ((tail+1) % bound); */ class BoundedBuffer { int head, tail, bound; public synchronized void add(Object o) {…} public synchronized Object take () {…} } /** * @observable INVOKE Call; */ /** * @observable RETURN Return; */

public synchronized void add(java.lang.Object) { T$0 := @this; o := @parameter0; entermonitor T$0; label0: goto label4; label1: virtualinvoke T$0.[wait():void](); T$3 = T$0.[head:int]; T$4 = T$0.[buffer:Object[]]; T$4[T$3] = o; Jimple (excerpts) Front End public synchronized void add(Object o) { while ( tail == head ) try { wait(); } catch (InterruptedException ex) {} buffer[head] = o; head = (head+1) % bound; notifyAll(); } Java

Property-directed Slicing slicing criterion generated automatically from observables mentioned in the property backwards slicing automatically finds all components that might influence the observables. Source program Resulting slice Slice mentioned in property indirectly relevant

Property-directed Slicing /** * @observable EXP Full: (head == tail) */ class BoundedBuffer { Object [] buffer_; int bound; int head, tail; public synchronized void add(Object o) { while ( tail == head ) try { wait(); } catch ( InterruptedException ex) {} buffer_[head] = o; head = (head+1) % bound; notifyAll(); }... } Included in slicing critirion Slicing Criterion All statements that assign to head, tail. indirectly relevant removed by slicing

Abstraction Engine int x = 0; if (x == 0) x = x + 1; Data domains (n<0) : neg (n==0): zero (n>0) : pos Signs negposzero int Code Signs x = zero; if (x == zero) x = pos; Collapses data domains via abstract interpretation:

Abstraction Component Functionality Variable Concrete Type Abstract Type Inferred Type Abstraction Library Bandera Abstraction Specification Language BASL Compiler PVS Jimple Abstraction Engine Abstracted Jimple x y done count o b int bool Object Buffer int …. Signs intAbs Bool …. Point Buffer

Abstraction Specification abstraction Signs abstracts int begin TOKENS = { NEG, ZERO, POS }; abstract(n) begin n {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 abstract(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) */ } Compiled

Specification Creation Tools abstraction Signs abstracts int begin TOKENS = { NEG, ZERO, POS }; abstract(n) begin n {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}; end Automatic Generation Forall n1,n2: neg?(n1) and neg?(n2) implies not pos?(n1+n2) 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) Proof obligations submitted to PVS... Example: Start safe, then refine: +(NEG,NEG)={NEG,ZERO,POS}

Bounded Buffer BIR process BoundedB() BoundedBuffer_rec = record { bound : range -1..4; head : range -1..4; tail : range -1..4; BIRLock : lock wait reentrant; }; BoundedBuffer_col : collection [3] of BoundedBuffer_rec; BoundedBuffer_col_0 : collection [3] of BoundedBuffer_rec; BoundedBuffer_ref = ref { BoundedBuffer_col, BoundedBuffer_col_0 }; State Declarations static identification of threads object state as record qualified lock representation Reference type indicates mini-heaps that can be pointed to. Easily express results of “points-to” analysis bounded integer values “mini-heaps” – one per allocator site

Bounded Buffer BIR loc s34: live { b2, b1, T_0, T_6, T_8 } when true do invisible { T_8 := (T_6 % T_8); } goto s35; … loc s36: live { b2, b1, T_0 } when true do { notifyAll(T_0.BIRLock); } goto s37; … loc s37: live { b2, b1, T_0 } when true do { unlock(T_0.BIRLock); } goto s38; Guarded Transitions control point label live variable information used to optimize back-end code annotation denoting invisible transition which can be merged with following transition built-in operations on lock representations

Bounded Buffer Promela typedef BoundedBuffer_rec { type_8 bound; type_8 head; type_8 tail; type_18 BIRLock; } … loc_25: atomic { printf("BIR: 25 0 1 OK\n"); if :: (_collect(T_0) == 1) -> T_8 = BoundedBuffer_col. instance[_index(T_0)].tail; :: (_collect(T_0) == 2) -> T_8 = BoundedBuffer_col_0. instance[_index(T_0)].tail; :: else -> printf("BIR: 25 0 1 NullPointerException\n"); assert(0); fi; goto loc_26; } record implementation BIR AST markers get printed with error trail. Parsed and drive BIR simulator for counter-example display. Accessing mini-heaps for buffer tail component.

Case Study: DEOS Kernel (with NASA Ames) A real-time operating system for integrated modular avionics systems Some interesting history… Non-trivial concurrent Java program: 1443 lines of code, 20 classes, 6 threads With a known bug Honeywell Dynamic Enforcement Operating System (DEOS) Application processes are guaranteed to be scheduled for their budgeted time during a scheduling unit Requirement:

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

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 –to reduce the state space to a tractable size –some form of abstraction is needed

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

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

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

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

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 After fixing the bug –the requirement was verified

Summary A collection of tools for reasoning about concurrent systems. Has been applied to find bugs in safety-critical systems. –Can it be used effectively by others – people familiar with quality assurance issues? Still a research prototype, but the implementation is maturing. Is it possible to integrate tools like this into the develop process for certified systems? –As a simple debugging utitlity? –As an officially sanctioned (certified) tool? –Can it complement existing tools used in certification – especially when concurrency is considered? The JPF back-end has been modified to produce coverage information. –Can this complement existing coverage tools? We would be happy to have challenge problems/case studies.

Primary Challenges Will there be so much technical knowledge and effort required that it will only be used by research teams or quality assurance in highly safety-critical applications? Can it be integrated well enough with standard development processes so it can be used not only with designs but also mesh well with rigorous testing? Can software engineers be trained in the concepts of abstraction and temporal logic, e.g., in a one semester course, so with little further training they can use tools effectively, in concurrent software development? Can effective “canned” solutions be provided for particular application domains – thus enabling developers with less training? Unclear how far model-checking can be pushed down the hierarchy of software developers

Model-checking Concurrent Java Software Using the Bandera Tool Set Matthew Dwyer John Hatcliff Radu Iosif Yu Chen Georg Jung Todd Wallentine FacultyStudents.

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Model-checking Concurrent Java Software Using the Bandera Tool Set Matthew Dwyer John Hatcliff Radu Iosif Yu Chen Georg Jung Todd Wallentine FacultyStudents.

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