Today's age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both
techniques play a significant role in measuring vulnerability prediction accuracy. In the field …

Software vulnerabilities represent a major cause of security problems. Various vulnerability
discovery models (VDMs) attempt to model the rate at which the vulnerabilities are …

Software security vulnerabilities are one of the critical issues in the realm of computer
security. Due to their potential high severity impacts, many different approaches have been …

Software quality is the prime solicitude in software engineering and vulnerability is one of
the major threat in this respect. Vulnerability hampers the security of the software and also …

The detection of software vulnerability requires critical attention during the development
phase to make it secure and less vulnerable. Vulnerable software always invites hackers to …

This study provided a systematic literature review of software vulnerability detection (SVD)
by searching ACM and IEEE databases for related literatures. Using the Preferred Reporting …

In the present phase of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Software vulnerabilities represent a major cause of cyber-security problems. The National
Vulnerability Database (NVD) is a public data source that maintains standardized …

This paper summarized the basic process of software vulnerability prediction using feature-
based machine learning for the first time. In addition to sorting out the related types and …

Software vulnerabilities are the major cause of cyber security problems. The National
Vulnerability Database (NVD) is a public data source that maintains standardized …