Code Visualization in Heap and Stack Memory

Abstract

The visualization of program performance is critical in understanding how the runtime memory works, especially the heap and stack memory. This is a review of the current research work which is aimed at visualizing the memory allocation, variable lifetime and recursive execution. AntTracks TrendViz, AlgoViz, and the pedagogical visualizer created by Maeda et al., software visualization framework created by Choudhury, and AI-based Code Confabulator represent various ways to enhance the efficiency of code understanding and debugging. The paper gives an analytical overview of these works and presents the pedagogical and technical advantages of visualization to learners and developers. The results support the significance of the combination of artificial intelligence and runtime analysis into coherent visualization of memory.