Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security
risks to many software systems. Given the limited resources in practice, SV assessment and …

Context: The dramatically increasing number of vulnerabilities makes manual vulnerability
analysis increasingly more difficult. Automatic extraction of vulnerability information can help …

Many studies have developed Machine Learning (ML) approaches to detect Software
Vulnerabilities (SVs) in functions and fine-grained code statements that cause such SVs …

Software vulnerability detection is critical in software security because it identifies potential
bugs in software systems, enabling immediate remediation and mitigation measures to be …

It is increasingly suggested to identify emerging software vulnerabilities (SVs) through
relevant development activities (eg, issue reports) to allow early warnings to open source …

Web vulnerability scanners (WVSs) are tools that can detect security vulnerabilities in web
services. Although both commercial and open‐source WVSs exist, their vulnerability …

Context: Software vulnerabilities have confused software developers for a long time.
Vulnerability classification is thus crucial, through which we can know the specific type of …

Vulnerability classification is an important activity in software development and software
quality maintenance. A typical vulnerability classification model usually involves a stage of …

The coordinated vulnerability disclosure (CVD) process is commonly adopted for open
source software (OSS) vulnerability management, which suggests to privately report the …

Common software vulnerabilities can result in severe security breaches, financial losses,
and reputation deterioration and require research effort to improve software security. The …