##基于信息熵的程序错误检测与修复

Abstract

This paper proposes a novel approach to program error detection and repair based on information entropy. Traditional methods for detecting and fixing program errors often rely on static analysis or dynamic testing, which can be limited in their ability to identify and resolve complex errors. This research introduces a framework that leverages the concept of entropy to analyze program control flow and data flow, aiming to provide a more comprehensive and automated solution. The core idea is that changes in entropy, particularly sudden or significant shifts, can indicate the presence of errors. The system utilizes entropy variations as a key metric for error detection and then employs optimization techniques – modifying program execution paths or directly altering code – to repair identified errors. This approach offers a potentially more robust and scalable method for error detection and repair, particularly for complex software systems. The paper details the framework, its underlying mathematical principles, and outlines the potential for future development and application.