Dynamic and Static Analysis of Python Software with Kieker Including Reconstructed Architectures

TL;DR

This paper presents a combined static and dynamic analysis pipeline for Python applications using the Kieker framework, enabling detailed insights into Python software architectures.

Contribution

It extends Kieker, originally for Java, to support Python, providing a novel approach for analyzing Python software structures.

Findings

Successfully integrated static and dynamic analysis for Python

Reconstructed architectures of Python applications using Kieker

Enhanced observability capabilities for Python software

Abstract

The Kieker observability framework is a tool that provides users with the means to design a custom observability pipeline for their application. Originally tailored for Java, supporting Python with Kieker is worthwhile. Python's popularity has exploded over the years, thus making structural insights of Python applications highly valuable. Our Python analysis pipeline combines static and dynamic analysis in order to build a complete picture of a given system.