惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Apple Machine Learning Research
Apple Machine Learning Research
M
MIT News - Artificial intelligence
罗磊的独立博客
博客园 - 【当耐特】
A
About on SuperTechFans
Last Week in AI
Last Week in AI
雷峰网
雷峰网
IT之家
IT之家
aimingoo的专栏
aimingoo的专栏
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园_首页
博客园 - 叶小钗
Microsoft Azure Blog
Microsoft Azure Blog
博客园 - Franky
J
Java Code Geeks
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
D
Docker
Engineering at Meta
Engineering at Meta
B
Blog RSS Feed
The Cloudflare Blog
大猫的无限游戏
大猫的无限游戏
阮一峰的网络日志
阮一峰的网络日志
S
SegmentFault 最新的问题
Recent Announcements
Recent Announcements

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
Engineering Formality and Software Risk in Debian Python ...
Matthew Gaughan, Kaylea Champion, Sohyeon Hwang · 2024-03-09 · via cs.SE updates on arXiv.org

While free/libre and open source software (FLOSS) is critical to global computing infrastructure, the maintenance of widely-adopted FLOSS packages is dependent on volunteer developers who select their own tasks. Risk of failure due to the misalignment of engineering supply and demand -- known as underproduction -- has led to code base decay and subsequent cybersecurity incidents such as the Heartbleed and Log4Shell vulnerabilities. FLOSS projects are self-organizing but can often expand into larger, more formal efforts. Although some prior work suggests that becoming a more formal organization decreases project risk, other work suggests that formalization may increase the likelihood of project abandonment. We evaluate the relationship between underproduction and formality, focusing on formal structure, developer responsibility, and work process management. We analyze 182 packages written in Python and made available via the Debian GNU/Linux distribution. We find that although more formal structures are associated with higher risk of underproduction, more elevated developer responsibility is associated with less underproduction, and the relationship between formal work process management and underproduction is not statistically significant. Our analysis suggests that a FLOSS organization's transformation into a more formal structure may face unintended consequences which must be carefully managed.