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cs.SE updates on arXiv.org

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning Neurosymbolic Repo-level Code Localization CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Verification Modulo Tested Library Contracts The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE Scaling Test-Time Compute for Agentic Coding AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study Benchmarks for Trajectory Safety Evaluation and Diagnosis in OpenClaw and Codex: ATBench-Claw and ATBench-Codex Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks Prompt-Driven Code Summarization: A Systematic Literature Review LinuxArena: A Control Setting for AI Agents in Live Production Software Environments LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment
Open or Sneaky? Fast or Slow? Light or Heavy?: Investigat...
Nasif Imtiaz, Aniqa Khanom, Laurie Williams · 2021-12-14 · via cs.SE updates on arXiv.org

Vulnerabilities in open source packages can be a security risk for the client projects that use these packages as dependencies. When a new vulnerability is discovered in a package, the package should quickly release a fix in a new version, referred to as security release in this study. The security release should be well-documented and require minimal migration effort to facilitate fast adoption by the client projects. However, to what extent the open source packages follow these recommendations is not known. The goal of this study is to aid software practitioners and researchers in understanding the current practice of releasing security fixes by open source packages and identifying areas for improvement through an empirical study of security releases. Specifically, in this paper, we study (1) the time lag between fix and release; (2) how security fixes are documented in the release notes; (3) code change characteristics (size and semantic versioning) of the release; and (4) the time lag between the release and an advisory publication on Snyk or NVD (two popular vulnerability databases) for security releases over a dataset of 4,377 security advisories across seven package ecosystems. We find that the median security release is available in under 4 days of the corresponding fix and contains 134 lines of code (LOC) change. Further, we find that 61.5% of the security releases come with a release note that documents the corresponding security fix. However, Snyk and NVD may take a median of 25 days (from the release) to publish an advisory for these security releases, possibly resulting in delayed notification to the client projects. Based on our findings, we make four recommendations for the package maintainers and the ecosystem administrators, such as using private fork for security fixes and standardizing the practice for announcing security releases.