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org.opalj.ai

CountingAI

class CountingAI[D <: Domain] extends InterruptableAI[D]

An abstract interpreter that counts the number of instruction evaluations that are performed. This is particularly helpful to determine the effect of optimizations or the choice of the domain.

Thread Safety

This class is thread-safe. I.e., one instance can be used to run multiple abstract interpretations in parallel.

Source
CountingAI.scala
Linear Supertypes
InterruptableAI[D], AI[D], AnyRef, Any
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Inherited
  1. CountingAI
  2. InterruptableAI
  3. AI
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new CountingAI()

Type Members

  1. type SomeLocals[V <: AI.SomeLocals.V.d.type.DomainValue forSome {val d: D}] = Option[IndexedSeq[V]]
    Definition Classes
    AI

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final val IdentifyDeadVariables: Boolean
    Definition Classes
    AI
  5. final val RegisterStoreMayThrowExceptions: Boolean
    Definition Classes
    AI
  6. def apply(method: Method, theDomain: D): AIResult { val domain: theDomain.type }

    Performs an abstract interpretation of the given method using the given domain.

    Performs an abstract interpretation of the given method using the given domain.

    method

    The method - which has to have a body - that will be analyzed. All parameters are automatically initialized with sensible default values.

    theDomain

    The domain that will be used to perform computations related to values.

    Definition Classes
    AI
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @IntrinsicCandidate()
  9. def continueInterpretation(code: Code, cfJoins: IntTrieSet, liveVariables: LiveVariables, theDomain: D)(initialWorkList: List[PC], alreadyEvaluatedPCs: IntArrayStack, subroutinesWereEvaluated: Boolean, theOperandsArray: AI.D.OperandsArray, theLocalsArray: AI.D.LocalsArray, theMemoryLayoutBeforeSubroutineCall: List[(Int, AI.D.OperandsArray, AI.D.LocalsArray)], theSubroutinesOperandsArray: AI.D.OperandsArray, theSubroutinesLocalsArray: AI.D.LocalsArray): AIResult { val domain: theDomain.type }

    Continues the interpretation of/performs an abstract interpretation of the given method (code) using the given domain.

    Continues the interpretation of/performs an abstract interpretation of the given method (code) using the given domain.

    code

    The bytecode that will be interpreted using the given domain.

    cfJoins

    The set of instructions where two or more control flow paths join. The abstract interpretation framework will only perform a join operation for those instructions.

    theDomain

    The domain that will be used to perform the domain dependent computations.

    initialWorkList

    The list of program counters with which the interpretation will continue. If the method was never analyzed before, the list should just contain the value "0"; i.e., we start with the interpretation of the first instruction (see initialWorkList). Note that the worklist may contain negative values. These values are not related to a specific instruction per-se but encode the necessary information to handle subroutines. In case of calls to a subroutine we add the special values SUBROUTINE and SUBROUTINE_START to the list to encode when the evaluation started. This is needed to completely process the subroutine (to explore all paths) before we finally return to the main method.

    alreadyEvaluatedPCs

    The list of the program counters (PC) of the instructions that were already evaluated. Initially (i.e., if the given code is analyzed the first time) this list is empty. This list is primarily needed to correctly resolve jumps to sub routines (JSR(_W) and RET instructions.) For each instruction that was evaluated, the operands array and the locals array must be non-empty (not null).

    subroutinesWereEvaluated

    True if a subroutine was already evaluated. I.e., at least one JSR instruction can be found in the list of already evaluated pcs.

    theOperandsArray

    The array that contains the operand stacks. Each value in the array contains the operand stack before the instruction with the corresponding index is executed. This array can be empty except of the indexes that are referred to by the initialWorklist. The operandsArray data structure is mutated by OPAL-AI and it is recommended that a Domain does not directly mutate the state of this array.

    theLocalsArray

    The array that contains the local variable assignments. Each value in the array contains the local variable assignments before the instruction with the corresponding program counter is executed. The localsArray data structure is mutated by OPAL-AI and it is recommended that a Domain does not directly mutate the state of this array.

    theSubroutinesOperandsArray

    The array that contains the intermediate information about the subroutines' operands. This value should be null unless we are continuing an aborted computation and a subroutine was already analyzed.

    theSubroutinesLocalsArray

    The array that contains the intermediate information about the subroutines' locals. This value should be null unless we are continuing an aborted computation and a subroutine was already analyzed.

    Definition Classes
    AI
  10. def continueInterpretation(code: Code, theDomain: D)(initialWorkList: List[Int], alreadyEvaluatedPCs: IntArrayStack, subroutinesWereEvaluated: Boolean, theOperandsArray: AI.D.OperandsArray, theLocalsArray: AI.D.LocalsArray): AIResult { val domain: theDomain.type }
    Definition Classes
    AI
  11. def currentEvaluationCount: Long
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  14. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  16. def initialLocals(method: Method, domain: D)(someLocals: SomeLocals[AI.D.DomainValue] = None): AI.D.Locals

    Returns the initial register assignment (the initialized locals) that is used when analyzing a new method.

    Returns the initial register assignment (the initialized locals) that is used when analyzing a new method.

    Initially, only the registers that contain the method's parameters (including the self reference (this)) are used. If no initial assignment is provided (someLocals == None) a valid assignment is automatically created using the domain. See perform(...) for further details regarding the initial register assignment.

    This method is called by the perform method with the same signature. It may be overridden by subclasses to perform some additional processing. In that case, however, it is highly recommended to call this method to finalize the initial assignment.

    method

    A non-native, non-abstract method. I.e., a method that has an implementation in Java bytecode (e.g., method.body.isDefined === true).

    domain

    The domain that will be used to perform computations related to values.

    Definition Classes
    AI
  17. def initialOperands(method: Method, domain: D): AI.D.Operands

    Returns the initial set of operands that will be used for the abstract interpretation of the given method.

    Returns the initial set of operands that will be used for the abstract interpretation of the given method.

    In general, an empty list is returned as the JVM specification mandates that the operand stack is empty at the very beginning of a method.

    This method is called by the perform method with the same signature. It may be overridden by subclasses to perform some additional processing.

    Definition Classes
    AI
    Note

    This method is (basically only) useful when interpreting code snippets!

  18. def interrupt(): Unit

    After a call of this method the abstract interpretation of the current method will be terminated before the evaluation of the next instruction starts.

    After a call of this method the abstract interpretation of the current method will be terminated before the evaluation of the next instruction starts.

    This functionality is appropriately synchronized to ensure a timely interruption.

    Definition Classes
    InterruptableAI
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. def isInterrupted: Boolean

    Determines whether a running (or to be started) abstract interpretation should be interrupted (default: false).

    Determines whether a running (or to be started) abstract interpretation should be interrupted (default: false).

    In general, interrupting the abstract interpreter may be meaningful if the abstract interpretation takes too long or if the currently used domain is not sufficiently precise enough/if additional information is needed to continue with the analysis.

    Called during the abstract interpretation of a method to determine whether the computation should be aborted. This method is always called directly before the evaluation of the first/next instruction. I.e., before the very first instruction or after the ai has completely evaluated an instruction, updated the memory and stated all constraints.

    Definition Classes
    CountingAI → InterruptableAI → AI
    Note

    When the abstract interpreter is currently waiting on the result of the interpretation of a called method it may take some time before the interpretation of the current method (this abstract interpreter) is actually aborted. This method needs to be overridden in subclasses to identify situations in which a running abstract interpretation should be interrupted.

  21. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  22. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  23. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  24. def perform(method: Method, theDomain: D)(someLocals: Option[IndexedSeq[AI.D.DomainValue]] = None): AIResult { val domain: theDomain.type }

    Analyzes the given method using the given domain and the pre-initialized parameter values (if any).

    Analyzes the given method using the given domain and the pre-initialized parameter values (if any). Basically, first the set of initial operands and locals is calculated before the respective perform(...,initialOperands,initialLocals) method is called.

    Controlling the AI

    The abstract interpretation of a method is aborted if the AI's isInterrupted method returns true.

    method

    A non-abstract, non-native method of the given class file. I.e., a method with a body.

    theDomain

    The abstract domain that will be used for the abstract interpretation of the given method.

    someLocals

    The initial register assignment (the parameters passed to the method). If the values passed to a method are already known, the abstract interpretation will be performed under that assumption. The specified number of locals has to be equal or larger than the number of parameters (including this in case of a non-static method.). If the number is lower than method.body.maxLocals it will be adjusted as required.

    returns

    The result of the abstract interpretation. Basically, the calculated memory layouts; i.e., the list of operands and local variables before each instruction. Each calculated memory layout represents the layout before the instruction with the corresponding program counter was interpreted. If the interpretation was aborted, the returned result object contains all necessary information to continue the interpretation if needed/desired.

    Definition Classes
    AI
  25. def performInterpretation(code: Code, theDomain: D)(initialOperands: AI.D.Operands, initialLocals: AI.D.Locals): AIResult { val domain: theDomain.type }

    Performs an abstract interpretation of the given (byte)code using the given domain and the initial operand stack and initial register assignment.

    Performs an abstract interpretation of the given (byte)code using the given domain and the initial operand stack and initial register assignment.

    Definition Classes
    AI
  26. def preInterpretationInitialization(code: Code, instructions: Array[Instruction], cfJoins: IntTrieSet, liveVariables: LiveVariables, theDomain: D)(theOperandsArray: AI.D.OperandsArray, theLocalsArray: AI.D.LocalsArray, theMemoryLayoutBeforeSubroutineCall: List[(Int, AI.D.OperandsArray, AI.D.LocalsArray)], theSubroutinesOperandsArray: AI.D.OperandsArray, theSubroutinesLocalsArray: AI.D.LocalsArray): Unit

    Performs additional initializations of the Domain, if the Domain implements the trait TheAI, TheCodeStructure, TheMemoryLayout or CustomInitialization.

    Performs additional initializations of the Domain, if the Domain implements the trait TheAI, TheCodeStructure, TheMemoryLayout or CustomInitialization.

    This method is called before the abstract interpretation is started/continued.

    Attributes
    protected[this]
    Definition Classes
    AI
  27. def resetInterrupt(): Unit
    Definition Classes
    InterruptableAI
  28. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  29. def toString(): String
    Definition Classes
    AnyRef → Any
  30. def tracer: Option[AITracer]

    The tracer (default: None) that is called by OPAL while performing the abstract interpretation of a method.

    The tracer (default: None) that is called by OPAL while performing the abstract interpretation of a method.

    This method is called at different points to report on the analysis progress (see org.opalj.ai.AITracer for further details)

    It is possible to attach/detach a tracer at any time.

    To attach a tracer to the abstract interpreter override this method in subclasses and return some tracer object.

    Definition Classes
    AI
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from InterruptableAI[D]

Inherited from AI[D]

Inherited from AnyRef

Inherited from Any

Ungrouped