Dec 20, 2024 · py2cfg is a package that can be used to produce control flow graphs (CFGs) for Python 3 programs. The CFGs it generates can be easily visualised with graphviz. That graphical analysis is the main purpose of the module. Below is an example of a piece of code that generates the Fibonacci sequence and the CFG produced for it with py2cfg: See the ast:

Jan 2, 2023 · CFG helps us finding independent paths (Cyclomatic Complexity), which leads to the number of test cases required to test the program. We can automate the CFG task using a Python library called pycfg.

StatiCFG is a package that can be used to produce control flow graphs (CFGs) for Python 3 programs. The CFGs it generates can be easily visualised with graphviz and used for static analysis.

Nov 22, 2024 · A Control Flow Graph (CFG) is the graphical representation of control flow or computation during the execution of programs or applications. Control flow graphs are mostly used in static analysis as well as compiler applications, as they can accurately represent the flow inside a program unit.

The control-flow graph (CFG) construction module generates intra-procedural CFGs, which are an essential component in static flow analysis with applications such as program optimization and taint analysis.

This repository contains a Python script designed to generate control flow graphs (CFGs) from source code. A control flow graph visually represents the flow of control within a program, illustrating the sequence in which statements are executed based on conditions.

Control flow graph (CFG) in software testing is the key to unlocking the hidden pathways of a program’s logic, allowing testers to uncover potential pitfalls and ensure robust functionality.

Aug 24, 2020 · What is a Control Flow Graph (CFG)? A directed graph representation of the code which depicts the execution flow using each non-branching or non-looping code statement as a node and the edges...

There's a Python package called staticfg which does exactly the this -- generation of control flow graphs from a piece of Python code. For instance, putting the first quick sort Python snippet from Rosseta Code in qsort.py, the following code generates its control flow graph.

In this paper, we present new incremental algorithms for maintaining data structures that represent all connectivity cuts of size one in directed graphs (digraphs), and the strongly connected...