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 …

Knowing the exploitability and severity of software vulnerabilities helps practitioners
prioritize vulnerability mitigation efforts. Researchers have proposed and evaluated many …

Software vulnerabilities constitute a great risk for the IT community. The specification of the
vulnerability characteristics is a crucial procedure, since the characteristics are used as input …

The number of newly published vulnerabilities is constantly increasing. Until now, the
information available when a new vulnerability is published is manually assessed by experts …

This work investigates the possibility of using the information contained in reports describing
Process Safety Events (PSEs) occurred in hydrocarbon production assets to support …

Software Engineering researchers are increasingly using Natural Language Processing
(NLP) techniques to automate Software Vulnerabilities (SVs) assessment using the …

Software1 vulnerabilities are closely associated with information systems security, a major
and critical field in today's technology. Vulnerabilities constitute a constant and increasing …

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

Mitigating vulnerabilities in software requires first identifying the vulnerabilities with an
organization's software assets. This seemingly trivial task involves maintaining vendor …

Internet of Things (IoT) based applications face an increasing number of potential security
risks, which need to be systematically assessed and addressed. Expert-based manual …