These terms are commonly used when discussing control flow graphs.

The call graph and control flow graph are usually also built during the analysis phase.

An edge in a control flow graph represents possible transfer of control.

Basic blocks form the vertices or nodes in a control flow graph.

If the control flow graph does contain cycles, a more advanced algorithm is required.

For example, consider the following control flow graph:

The PST is defined for all control flow graphs.

M is a lower bound for the number of paths through the control flow graph (CFG).

The control flow is expressed as a control flow graph (CFG).

In terms of the control flow graph, a switch statement consists of two nodes (entrance and exit), plus one edge between them for each option.

If one considers the control flow graph as a 1-dimensional CW complex called , then the fundamental group of will be .

If the control flow graph does not contain cycles (there were no explicit or implicit loops in the procedure) solving the equations is straightforward.

Moreover, no other Φ functions are needed in the control flow graph to deal with A's definitions, and we can do with no less.

If systems are solely based on the control flow graph to select specific paths it more often than not leads to the selection of infeasible paths.

A program's control flow graph (CFG) is used to determine those parts of a program to which a particular value assigned to a variable might propagate.

The resulting control flow graph for the sequences of "if"s thus has many more nodes and almost twice as many edges, with these not adding any useful information.

A more general question along the same lines is, given an arbitrary control flow graph, how can I tell where to insert Φ functions, and for what variables?

This optimization symbolically executes the program, simultaneously propagating constant values and eliminating portions of the control flow graph that this makes unreachable.

The ROSE IR consists of an abstract syntax tree, symbol tables, control flow graph, etc.

Phoenix defines an intermediate representation (IR) for programs, using ASTs, control flow graphs, and an exception handling model.

Data-flow optimizations, based on data-flow analysis, primarily depend on how certain properties of data are propagated by control edges in the control flow graph.

Trucov improves upon gcov by providing more granular and machine readable output, such as DOT Files representing control flow graph of the program.

It is seen that the main limitation of the test data generation methods is that only the control flow graph is used to generate the test data.

A control flow graph (CFG) in computer science is a representation, using graph notation, of all paths that might be traversed through a program during its execution.

The control flow graphs arising in the compilation of structured programs also have bounded treewidth, which allows certain tasks such as register allocation to be performed efficiently on them.