New Progress of Software Security Vulnerability Detection Technology in Software Engineering

Abstract

In the digital age, software security has increasingly become an important topic of software engineering. With the continuous evolution of cyber attack methods, the traditional security detection methods face new challenges. This paper discusses the latest progress of the
current software security vulnerability detection technology, focusing on static code analysis, dynamic execution monitoring, source code
adaptation, binary analysis and security program detection. By introducing emerging technologies such as intelligent symbol execution, deep
learning, and fuzzy testing, these methods have achieved a significant improvement in the accuracy and efficiency of vulnerability discovery.
Research has shown that combining a variety of technologies can effectively deal to complex security threats and improve the overall security
of software.