Automated Calculation of Algorithm Statement Execution Frequency Based on Abstract Syntax Tree

The execution frequency of algorithm statements is closely related to performance, yet manual calculation is often complex and error-prone. This paper proposes an automated solution based on independent variables, constraints, and fundamental models. By leveraging Abstract Syntax Tree (AST) to identify applicable frequency functions and employing interpolation to determine model parameters, it achieves automated parameter computation. Extensive experimental validation demonstrates the method's efficiency and accuracy, offering a high-performance automated framework for algorithm analysis with broad application prospects