When Documentation Lies: Detecting Drift Between Code and Reality Post date November 28, 2025 Post author By Roman Post categories In ai-code-review, ai-documentation, documentation, documentation-drift, hackernoon-top-story, software-development, software-documentation, static-analysis
When Documentation Lies: Detecting Drift Between Code and Reality Post date November 28, 2025 Post author By Roman Post categories In ai-code-review, ai-documentation, documentation, documentation-drift, hackernoon-top-story, software-development, software-documentation, static-analysis
From Codeless to AI-Powered: The Next Evolution of Test Automation Post date November 28, 2025 Post author By bongbong Post categories In ai-assisted-coding, ai-assisted-programming, ai-code-review, ai-for-software-quality, ai-powered-testing, ai-qa, codeless-testing, test-automation
From Codeless to AI-Powered: The Next Evolution of Test Automation Post date November 28, 2025 Post author By bongbong Post categories In ai-assisted-coding, ai-assisted-programming, ai-code-review, ai-for-software-quality, ai-powered-testing, ai-qa, codeless-testing, test-automation
ML Tool Spots 80% of Vulnerability-Inducing Commits Ahead of Time Post date November 20, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
How Developer Credential Theft Is Fueling the Next Wave of Cyberattacks Post date November 20, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
Researchers Push for Pre-Submit Security to Reduce Android Code Flaws Post date November 19, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
New Study Shows Random Forest Models Can Spot 80% of Vulnerabilities Before Code Merge Post date November 19, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
Study Shows Android Vulnerabilities Can Take Up to 5 Years to Fully Fix Post date November 19, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
Inside the Data Pipeline Behind Classifying Android Security Flaws Post date November 19, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
How Lightweight ML Models Predict Vulnerable Code Changes Post date November 19, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
Classifier-Based VP System Targets High-Risk Code Changes in Upstream Projects Post date November 18, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
Machine Learning-based Vulnerability Protections For Android Open Source Project Post date November 18, 2025 Post author By Code Review Post categories In ai-code-review, android-security, aosp-security, ml-classifier, ml-security-framework, secure-code-review, software-security-testing, upstream-code-security
The Limits of LLM-Generated Unit Tests Post date October 24, 2025 Post author By Vlad Khramov Post categories In ai-code-generation, ai-code-review, ai-in-software-testing, ai-software-testing, code quality, llm-unit-testing, openai-codex, unit-testing
Sciencx
Sciencx