I'm trying to generate a calling graph with which to find out all the possible execution paths that are hitting a particular function (so that I don't have to figure out all the paths manually, as there are many paths that lead to this function). For instance:

Jan 3, 2023 · There are two main approaches to automating call graph creation: static analysis and dynamic analysis. Static analysis involves analyzing the source code of a program without executing it, while dynamic analysis involves running the program and analyzing its …

With languages that feature dynamic dispatch (e.g. Java or C++), [5] first-class functions (e.g. Python or Racket), or function pointers (e.g. C), computing a static call graph precisely requires alias analysis results. Conversely, computing precise aliasing requires a call graph.

Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other.

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks …

Sep 11, 2015 · You need a tool which works inside the compiler, on internal representations of the compiler, so you need some more sophisticated static program analyzer, and even that will give you approximate results.

Static analysis has been proven to be extremely useful over the years in their ability to comprehend large codebases. Out of the many static analysis methods, this paper focuses on static function call graph (SFCG) which represents dependencies between functions in …

In the diagram below, the main program is represented by node MAIN. It calls 6 functions, one of which calls 9 other functions. 'callGraph' parses source code for function definitions and calls, generates a call graph image, and displays it on screen.

Feb 20, 2022 · The subtle difference between the two libraries is that while Tensorflow (v < 2.0) allows static graph computations, Pytorch allows dynamic graph computations. This article will cover these differences in a visual manner with code examples.

So, I need to know if there is a tool (which do not require any python file execution) that can build a call graph using the modules instead of the trace or python parser. I have such tools for C but not for python. Thank you.