ML Tool Spots 80% of Vulnerability-Inducing Commits Ahead of Time
20 Nov 2025
ML-driven vulnerability prediction can flag risky code before submission and strengthen open-source supply chains through shared developer credibility data.
How Developer Credential Theft Is Fueling the Next Wave of Cyberattacks
20 Nov 2025
A review of modern software supply chain threats, mitigation gaps, and new research on predicting vulnerabilities at the code-change level.
Spotify Study Flags Key Limits in Measuring Information Flow in Code Reviews
19 Nov 2025
Study highlights data gaps, modeling limits, and bias risks that challenge efforts to measure and falsify theories of information flow in code reviews.
Spotify Study Maps How Information Spreads Through Code Reviews
19 Nov 2025
Spotify researchers test whether code reviews act as communication networks by measuring information diffusion across participants, components, and teams.
How Code Reviews Function as Communication Networks in Modern Software Teams
19 Nov 2025
Code reviews form powerful communication networks that actively spread knowledge across teams faster and more broadly than file-based measures suggest.
Researchers Test Long-Held Theory: Do Code Reviews Truly Act as Communication Networks?
19 Nov 2025
A confirmatory study investigates how information spreads in code reviews, testing whether these discussions function as true communication networks.
Researchers Push for Pre-Submit Security to Reduce Android Code Flaws
19 Nov 2025
New research shows Android’s vulnerability fixes take far longer than device updates—and proposes a machine-learning framework to prevent flaws before they land
New Study Shows Random Forest Models Can Spot 80% of Vulnerabilities Before Code Merge
19 Nov 2025
Machine-learning framework using Random Forest achieves ~80% vulnerability recall and 98% precision in real-world code review and deployment scenarios.
Study Shows Android Vulnerabilities Can Take Up to 5 Years to Fully Fix
19 Nov 2025
Android vulnerabilities can take 4–5 years to fully resolve. This analysis maps latency, code complexity, and human factors driving long-standing security risks