Advancements in Call Graph Methodologies for Enhanced Program Comprehension

In the evolving landscape of software development, where maintaining and understanding complex systems is increasingly challenging, call graph techniques play a critical role in enhancing software comprehension by providing a visual and structural representation of function calls within a system. This paper explores the role of call graphs in simplifying software maintenance and debugging. It highlights how call graphs significantly improve developers’ understanding of system architectures and function interactions, reducing the time spent on manual code exploration. Furthermore, the paper explores recent advancements in call graph techniques, particularly the integration of machine learning and deep learning models with traditional call graph approaches. This hybrid methodology demonstrates enhanced accuracy and relevance in tasks such as program comprehension and code refactoring, making it a valuable tool for modern software engineering practices.