The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Software vulnerability can cause disastrous consequences for information security. Earlier
detection of vulnerabilities minimizes these consequences. Manual detection of vulnerable …

Despite the security community's emphasis on the importance of building secure open
source software (OSS), the number of new vulnerabilities found in OSS is increasing. In …

Abstract [Context] A software vulnerability becomes harmful for software when an attacker
successfully exploits the insecure code and reveals the vulnerability. A single vulnerability in …

Open source projects are most often evaluated by potential contributors and consumers
using metrics that describe a level of activity within the project because those measurements …

It is well known that corporations rely on open source software as part of their product
development lifecycle. Given these commitments, understanding the health of open source …