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  • package root
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    root
  • package org
    Definition Classes
    root
  • package opalj

    OPAL is a Scala-based framework for the static analysis, manipulation and creation of Java bytecode.

    OPAL is a Scala-based framework for the static analysis, manipulation and creation of Java bytecode. OPAL is designed with performance, scalability and adaptability in mind.

    Its main components are:

    • a library (Common) which provides generally useful data-structures and algorithms for static analyses.
    • a framework for implementing lattice based static analyses (Static Analysis Infrastructure)
    • a framework for parsing Java bytecode (Bytecode Infrastructure) that can be used to create arbitrary representations.
    • a library to create a one-to-one in-memory representation of Java bytecode (Bytecode Disassembler).
    • a library to create a representation of Java bytecode that facilitates writing simple static analyses (Bytecode Representation - org.opalj.br).
    • a scalable, easily customizable framework for the abstract interpretation of Java bytecode (Abstract Interpretation Framework - org.opalj.ai).
    • a library to extract dependencies between code elements and to facilitate checking architecture definitions.
    • a library for the lightweight manipulation and creation of Java bytecode (Bytecode Assembler).

    General Design Decisions

    Thread Safety

    Unless explicitly noted, OPAL is thread safe. I.e., the classes defined by OPAL can be considered to be thread safe unless otherwise stated. (For example, it is possible to read and process class files concurrently without explicit synchronization on the client side.)

    No null Values

    Unless explicitly noted, OPAL does not null values I.e., fields that are accessible will never contain null values and methods will never return null. If a method accepts null as a value for a parameter or returns a null value it is always explicitly documented. In general, the behavior of methods that are passed null values is undefined unless explicitly documented.

    No Typecasts for Collections

    For efficiency reasons, OPAL sometimes uses mutable data-structures internally. After construction time, these data-structures are generally represented using their generic interfaces (e.g., scala.collection.{Set,Map}). However, a downcast (e.g., to add/remove elements) is always forbidden as it would effectively prevent thread-safety.

    Assertions

    OPAL makes heavy use of Scala's Assertion Facility to facilitate writing correct code. Hence, for production builds (after thorough testing(!)) it is highly recommend to build OPAL again using -Xdisable-assertions.

    Definition Classes
    org
  • package graphs

    This package defines graph algorithms as well as factory methods to describe and compute graphs and trees.

    This package defines graph algorithms as well as factory methods to describe and compute graphs and trees.

    This package supports the following types of graphs:

    1. graphs based on explicitly connected nodes (org.opalj.graphs.Node),
    2. graphs where the relationship between the nodes are encoded externally (org.opalj.graphs.Graph).
    Definition Classes
    opalj
  • AbstractDominatorTree
  • AbstractGraph
  • ControlDependencies
  • DefaultMutableMode
  • DefaultMutableNode
  • DominanceFrontiers
  • DominatorTree
  • Graph
  • MutableNode
  • MutableNodeLike
  • Node
  • PostDominatorTree
  • UnidirectionalGraph
  • VirtualUnidirectionalGraph
t

org.opalj.graphs

ControlDependencies

trait ControlDependencies extends AnyRef

Represents the control-dependence information.

An instruction/statement is control dependent on a predicate (here: if, switch or any instruction that may throw an exception) if the value of the predicate controls the execution of the instruction.

Note that the classical definition:

Let G be a control flow graph; Let X and Y be nodes in G; Y is control dependent on X iff there exists a directed path P from X to Y with any Z in P \ X is not post-dominated by Y.

Is not well suited for methods with potentially infinite loops, exceptions and multiple exit points. (See PostDominatorTree$.apply for further information.)

Source
ControlDependencies.scala
Note

In the context of static analysis an instruction (e.g., invoke, idiv,...) that may throw an exception that results in a different control-flow, is also a predicate additionally to all ifs and switches.

,

If the underlying method/CFG contains infinite loops then it is expected that the dominance frontiers are already corrected if the used post dominator tree was augmented in the first place!

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  1. abstract def xIsControlDependentOn(x: Int)(f: (Int) => Unit): Unit

    Calls the function f with those nodes on which the given node x is control dependent on.

  2. abstract def xIsDirectlyControlDependentOn(x: Int): IntArraySet

    returns

    The nodes/basic blocks on which the given node/basic block is directly control dependent on. That is, the set of nodes which directly control whether x is executed or not. Directly means that there is at least one path between a node Y in Control(X)/*the returned set*/ and X, whose selection is controlled by Y and which contains no nodes that may prevent the execution of X.

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