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Patchdb: A large-scale security patch dataset
Security patches, embedding both vulnerable code and the corresponding fixes, are of great
significance to vulnerability detection and software maintenance. However, the existing …
significance to vulnerability detection and software maintenance. However, the existing …
Graphspd: Graph-based security patch detection with enriched code semantics
With the increasing popularity of open-source software, embedded vulnerabilities have been
widely propagating to downstream software. Due to different maintenance policies, software …
widely propagating to downstream software. Due to different maintenance policies, software …
Patchrnn: A deep learning-based system for security patch identification
With the increasing usage of open-source software (OSS) components, vulnerabilities
embedded within them are propagated to a huge number of underlying applications. In …
embedded within them are propagated to a huge number of underlying applications. In …
[PDF][PDF] Precisely characterizing security impact in a flood of patches via symbolic rule comparison
A bug is a vulnerability if it has security impacts when triggered. Determining the security
impacts of a bug is important to both defenders and attackers. Maintainers of large software …
impacts of a bug is important to both defenders and attackers. Maintainers of large software …
[PDF][PDF] Progressive scrutiny: Incremental detection of ubi bugs in the linux kernel
The Linux kernel has a rapid development cycle, with 10 commits every hour, on average.
While these updates provide new features and bug fixes, they can also introduce new bugs …
While these updates provide new features and bug fixes, they can also introduce new bugs …
Early detection of security-relevant bug reports using machine learning: How far are we?
Bug reports are common artefacts in software development. They serve as the main channel
for users to communicate to developers information about the issues that they encounter …
for users to communicate to developers information about the issues that they encounter …
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks
Non-functional bugs (eg, performance-or accuracy-related bugs) in Deep Learning (DL)
frameworks can lead to some of the most devastating consequences. Reporting those bugs …
frameworks can lead to some of the most devastating consequences. Reporting those bugs …
An Empirical Study to Investigate Class Imbalance Issue for Improving Security Bug Report Classification Prediction
Rashmi, A Kaur - International Conference on Information Technology, 2023 - Springer
The security risk of a software product can be decreased by finding security bug reports
(SBRs). Although the number of SBRs is frequently restricted, the class imbalance problem …
(SBRs). Although the number of SBRs is frequently restricted, the class imbalance problem …