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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
Analyzing C/C++ Library Migrations at the Package-level: ...
Haiqiao Gu, Yiliang Zhao, Kai Gao, Minghui Zhou · 2025-07-04 · via cs.SE updates on arXiv.org

Library migration happens when a library can not meet the project's requirements and is non-trivial to accomplish. To mitigate the problem, substantial efforts have been devoted to understanding its characteristics and recommending alternative libraries, especially for programming language (PL) ecosystems with a central package hosting platform, such as Python (PyPI). However, to the best of our knowledge, understanding of C/C++ library migrations is still lacking, possibly due to challenges resulting from the fragmented and complicated dependency management practices in the C/C++ ecosystem. To bridge this knowledge gap, this paper analyzes 19,943 C/C++ projects that utilize different package management tools and establishes the first C/C++ library migration dataset. Based on the dataset, we investigate the prevalence, domains, target library, and rationale of C/C++ library migrations and compare the results with three widely investigated PLs: Python, JavaScript, and Java. We find that the overall trend in the number of C/C++ library migrations is similar to Java. Migrations across different package management tools are also observed. In C/C++, library migrations mainly occur in GUI, Build, and OS development, but are rare in domains (e.g., Testing and Logging) that dominate library migrations in the three compared PLs. 83.46\% of C/C++ source libraries only have one migration target, suggesting that our library migration dataset could be used directly to recommend migration targets. We find four C/C++-specific migration reasons, such as less compile time and unification of dependency management, revealing the unique dependency management requirements in C/C++ projects. We believe our findings can help C/C++ developers make more informed library migration decisions and shed light on the design of C/C++ library migration tools.