valleyrest.blogg.se - Doxygen call graph

#Doxygen call graph mac os x#
#Doxygen call graph generator#
#Doxygen call graph software#
#Doxygen call graph code#

Sourcetrail creates a static call graph, that can be dynamically explored by the user.

Static for getting call graphs without running application C/C++

Intel(R) Single Event API (free, open-source).

#Doxygen call graph generator#

makeppgraph is a dependency graph generator (at module level) for builds performed with makepp.

CodeAnalyst from AMD (released under GPL).

pprof, open source tool for visualization and analysis of profile data, to be used in conjunction with gperftools.

OpenPAT : includes the control_flow tool which automatically creates a Graphviz call-graph picture from runtime measurements.

#Doxygen call graph mac os x#

This function is only available in Mac OS X Leopard Mac OS X Activity Monitor : Apple GUI process monitor Activity Monitor has a built-in call graph generator that can sample processes and return a call graph.KCachegrind : powerful tool to generate and analyze call graphs based on data generated by callgrind.gprof : included in BSD or part of the GNU Binary Utilities.

#Doxygen call graph software#

Software Free software call graph generators Run-time call graph (most of tools listed are profilers with call graph functionality)

#Doxygen call graph code#

Call graphs can also be used to detect anomalies of program execution or code injection attacks. Call graphs can act as documentation for humans to understand programs. One simple application of call graphs is finding procedures that are never called. Many static analysis systems solve the apparent infinite regress by computing both simultaneously.Ĭall graphs can be used in different ways. Conversely, computing precise aliasing requires a call graph. C), computing a static call graph precisely requires alias analysis results. Python or Racket), or function pointers (i.e. Java or C++), first-class functions (i.e. With languages that feature dynamic dispatch (i.e. The least precise call graph is context-insensitive, which means that there is only one node for each procedure. Calling context trees are usually not computed statically, because it would take too long for a large program. This can be computed dynamically easily, although it may take up a large amount of memory. A fully context-sensitive call graph is called a calling context tree. The most precise call graph is fully context-sensitive, which means that for each procedure, the graph contains a separate node for each call stack that procedure can be activated with. A more precise call graph more precisely approximates the behavior of the real program, at the cost of taking longer to compute and more memory to store. That is, every call relationship that occurs is represented in the graph, and possibly also some call relationships that would never occur in actual runs of the program.Ĭall graphs can be defined to represent varying degrees of precision. The exact static call graph is an undecidable problem, so static call graph algorithms are generally overapproximations. A static call graph is a call graph intended to represent every possible run of the program. Thus, a dynamic call graph can be exact, but only describes one run of the program. A dynamic call graph is a record of an execution of the program, for example as output by a profiler. Thus, a cycle in the graph indicates recursive procedure calls.Ĭall graphs can be dynamic or static. Each node represents a procedure and each edge (f, g) indicates that procedure f calls procedure g. A call graph generated for a simple computer program in Python.Ī call graph (also known as a call multigraph ) is a control-flow graph, which represents calling relationships between subroutines in a computer program.