llvm-analysis-0.3.0: A Haskell library for analyzing LLVM bitcode

Safe HaskellNone

LLVM.Analysis.CallGraph.Internal

Contents

Description

This internal module implements the CallGraph and the CallGraphSCC traversal together because the traversal depends on CallGraph internals. They are meant to be used through their respective interfaces, but this internal module is accessible in case their APIs are insufficient to do something a user might want. These internals are not stable.

Synopsis

Types

data CallGraph Source

An opaque wrapper for the callgraph. The nodes are functions and the edges are calls between them.

Constructors

forall pta . PointsToAnalysis pta => CallGraph CG pta 

type CG = Gr CallNode CallEdgeSource

A type synonym for the underlying graph

data CallEdge Source

Constructors

DirectCall

A static call to a known function

IndirectCall

A possible call to a known function through a function pointer

UnknownCall

A possible call to an unknown function through a function pointer

data CallNode Source

The nodes are actually a wrapper type:

Constructors

DefinedFunction Function

An actual function defined in this Module

ExtFunction ExternalFunction

An externally-defined function with a declaration in the Module

UnknownFunction

A function called indirectly that may not have any definition or declaration within the Module

Constructor

callGraphSource

Arguments

:: PointsToAnalysis a 
=> Module 
-> a

A points-to analysis (to resolve function pointers)

-> [Function]

The entry points to the Module

-> CallGraph 

Build a call graph for the given Module using a pre-computed points-to analysis. The String parameter identifies the program entry point.

FIXME: entryPoint is not respected.

FIXME: Function pointers can be bitcasted - be sure to respect those when adding indirect edges.

Accessors

callGraphRepr :: CallGraph -> CGSource

Convert the CallGraph to a graph ADT that can be traversed, manipulated, or easily displayed with graphviz.

For now, this representation is not guaranteed to remain stable.

callValueTargets :: CallGraph -> Value -> [Value]Source

Given the value called by a Call or Invoke instruction, return all of the possible Functions or ExternalFunctions that it could be.

callSiteTargets :: CallGraph -> Instruction -> [Value]Source

Given a Call or Invoke instruction, return the list of possible callees. All returned Values will be either Functions or ExternalFunctions.

Passing a non-call/invoke instruction will trigger a noisy pattern matching failure.

callGraphFunctions :: CallGraph -> [Function]Source

Get all of the functions defined in this module from the CallGraph

functionCallees :: CallGraph -> Function -> [Value]Source

allFunctionCallees :: CallGraph -> Function -> [Value]Source

functionCallers :: CallGraph -> Function -> [Value]Source

allFunctionCallers :: CallGraph -> Function -> [Value]Source

CallGraphSCC Traversal

data ComposableAnalysis compSumm funcLike Source

An abstract representation of a composable analysis. Construct these with the smart constructors composableAnalysis, composableDependencyAnalysis, composableAnalysisM, and composableDependencyAnalysisM.

Use callGraphComposeAnalysis to convert a list of these into a summary function for use with the call graph traversals.

callGraphSCCTraversalSource

Arguments

:: FuncLike funcLike 
=> CallGraph

The callgraph

-> ([funcLike] -> summary -> summary)

A function to process a strongly-connected component

-> summary

An initial summary value

-> summary 

Traverse the callgraph bottom-up with an accumulator function.

 callGraphSCCTraversal cg f seed

This example applies the folding function f over each strongly-connected component in the callgraph bottom-up with a starting seed. Each strongly-connected component is processed as a unit. The final accumulated value (based on seed) is returned.

The function f is responsible for approximating the analysis value for the SCC in whatever way makes sense for the analysis.

parallelCallGraphSCCTraversal :: (NFData summary, Monoid summary, FuncLike funcLike) => CallGraph -> ([funcLike] -> summary -> summary) -> summary -> summarySource

Just like callGraphSCCTraversal, except strongly-connected components are analyzed in parallel. Each component is analyzed as soon as possible after its dependencies have been analyzed.

Adaptors

callGraphAnalysis :: (FuncLike funcLike, Eq summary) => (funcLike -> summary -> summary) -> [funcLike] -> summary -> summarySource

Make a call-graph SCC summary function from a pure summary function. The function is applied to each function in the SCC in an arbitrary order. It returns the resulting summary obtained by repeated evaluation until a fixed-point is reached.

callGraphAnalysisMSource

Arguments

:: (FuncLike funcLike, Eq summary, Monad m) 
=> (m summary -> summary)

A function to unwrap a monadic result from the summary

-> (funcLike -> summary -> m summary)

Summary function

-> [funcLike] -> summary -> summary 

Make a call-graph SCC summary function from a basic monadic summary function and a function to evaluate the function in its monad and unwrap the monadic value.

The monadic equivalent of callGraphAnalysis.

callGraphComposeAnalysis :: (FuncLike funcLike, Monoid compSumm, Eq compSumm) => [ComposableAnalysis compSumm funcLike] -> [funcLike] -> compSumm -> compSummSource

Compose a list of analyses into a pure summary function for use in a callGraphSCCTraversal. The advantage of using a composable analysis is that it only traverses the call graph once. At each SCC, all analyses are applied until their fixed-point is reached.

This makes it easier to share intermediate values (like CFGs) between analyses without having to recompute them or store them on the side.

The input analyses are processed *in order* (left-to-right). This means that analyses with dependencies should come *after* the analyses they depend on in the list. This is not currently statically enforced - your dependency summaries will just be missing information you might have expected if you get the order wrong.

composableAnalysis :: (NFData summary, Monoid summary, Eq summary, FuncLike funcLike) => (funcLike -> summary -> summary) -> Lens' compSumm summary -> ComposableAnalysis compSumm funcLikeSource

Create a pure composable analysis from a summary function and a Lens that accesses the summary for this function (given the composite summary). The lens is used to access the current state of this analysis and to update the state for this analysis after it is run.

composableDependencyAnalysis :: (NFData summary, Monoid summary, Eq summary, FuncLike funcLike) => (deps -> funcLike -> summary -> summary) -> Lens' compSumm summary -> Getter compSumm deps -> ComposableAnalysis compSumm funcLikeSource

Like composableAnalysis, but with an extra lens that is used to extract *dependency* information from the composite summary, which is then fed into this summary function.

The intended use is that some analysis will have a dependency on an earlier analysis summary. The lens is used to extract the relevant part of the composite summary. A dependency on multiple earlier analysis summaries can be expressed by providing a lens that extracts a *tuple* containing all relevant analyses.

composableAnalysisM :: (NFData summary, Monoid summary, Eq summary, Monad m, FuncLike funcLike) => (m summary -> summary) -> (funcLike -> summary -> m summary) -> Lens' compSumm summary -> ComposableAnalysis compSumm funcLikeSource

A monadic version of composableAnalysis. The first argument here is a function to unwrap a monadic value (something like runIdentity or runReader).

composableDependencyAnalysisM :: (NFData summary, Monoid summary, Eq summary, Monad m, FuncLike funcLike) => (m summary -> summary) -> (deps -> funcLike -> summary -> m summary) -> Lens' compSumm summary -> Getter compSumm deps -> ComposableAnalysis compSumm funcLikeSource

A monadic version of composableDependencyAnalysis.