Automated Software Analysis and Documentation Generator

Software complexity compels the use of advanced tools for automated code analysis and documentation. In the traditional approach to understand the large code base, human effort is undeniably needed, thus time-consuming, error-prone, and expensive. This paper will present an overall framework for automatic software analysis and generation of documentation. The framework, building on the versatility of Python libraries for the scanning of directories, parsing of syntax trees, visualization of control flows, and concurrent processing, enables the rapid understanding of software architecture and functionality. It supports a range of programming languages and automatically produces structured documentation, such as flowcharts, UML diagrams, and detailed reports. In summary, it is a solution that should improve software maintainability, increase code comprehension, and sustain research in software analysis