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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
Dependency Dilemmas: A Comparative Study of Independent a...
Mehedi Hasan Shanto, Muhammad Asaduzzaman, Manishankar Mondal, S · 2025-04-17 · via cs.SE updates on arXiv.org

The Maven Central ecosystem forms the backbone of Java dependency management, hosting artifacts that vary significantly in their adoption, security, and ecosystem roles. Artifact reuse is fundamental in software development, with ecosystems like Maven Central facilitating this process. However, prior studies predominantly analyzed popular artifacts with numerous dependencies, leaving those without incoming dependencies (independent artifacts) unexplored. In this study, we analyzed 658,078 artifacts, of which 635,003 had at least one release. Among these, 93,101 artifacts (15.4%) were identified as independent (in-degree = 0), while the rest were classified as dependent. We looked at the impact of separate artifacts using PageRank and out-degree centrality and discovered that they were very important to the ecosystem. Further analysis across 18 different metrics revealed several advantages and comparability of independent artifacts with dependent artifacts: comparable popularity (25.58 vs. 7.30), fewer vulnerabilities (60 CVEs vs. 179 CVEs), and zero propagated vulnerabilities. Based on these results, it seems that independent artifacts make a big difference in the ecosystem and give developers a safe, self-contained alternative to traditional dependencies. These findings suggest that independent artifacts might be a beneficial choice for dependencies but have some maintainability issues. Therefore, developers should carefully incorporate independent artifacts into their projects, and artifact maintainers should prioritize this group of artifacts to mitigate the risk of transitive vulnerability propagation and improve software sustainability.