Generate approximate call graphs for Python programs. Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the ...

Call graphs are a vital tool for understanding the complex interactions within your Python code. Think of them as a roadmap, where each node represents a function, and the edges show the calls ...

Demonstrates how to generate and visualize function call graphs in Python, specifically focusing on a sample script example.py. The call graph is generated using the pycallgraph2 library and ...

Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task when it ...

This is the source code that can be used in DOT language to render the graph using graphviz graph drawing software. We can also save and render the source code using render function. Let us see how we ...

A static call graph is an imperative prerequisite used in most interprocedural analyses and software comprehension tools. However, there is a lack of software tools that can automatically analyze the ...

Control flow graphs (CFGs) and function call graphs (FCGs) have become pivotal in providing a detailed understanding of program execution and effectively characterizing the behaviour of malware. These ...