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

博客园_首页
C
Check Point Blog
B
Blog RSS Feed
G
Google Developers Blog
H
Help Net Security
博客园 - Franky
Blog — PlanetScale
Blog — PlanetScale
H
Hackread – Cybersecurity News, Data Breaches, AI and More
量子位
Recent Announcements
Recent Announcements
B
Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
D
DataBreaches.Net
小众软件
小众软件
T
The Blog of Author Tim Ferriss
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
MongoDB | Blog
MongoDB | Blog
Y
Y Combinator Blog
T
Tailwind CSS Blog
J
Java Code Geeks
MyScale Blog
MyScale Blog
雷峰网
雷峰网
有赞技术团队
有赞技术团队
博客园 - 聂微东

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
From Diverse Origins to a DEI Crisis: The Pushback Agains...
Ronnie de Souza Santos, Ann Barcomb, Mairieli Wessel, Cleyton Ma · 2025-04-23 · via cs.SE updates on arXiv.org

Background: Diversity, equity, and inclusion are rooted in the very origins of software engineering, shaped by the contributions from many individuals from underrepresented groups to the field. Yet today, DEI efforts in the industry face growing resistance. As companies retreat from visible commitments, and pushback initiatives started only a few years ago. Aims: This study explores how the DEI backlash is unfolding in the software industry by investigating institutional changes, lived experiences, and the strategies used to sustain DEI practices. Method: We conducted an exploratory case study using 59 publicly available Reddit posts authored by self-identified software professionals. Data were analyzed using reflexive thematic analysis. Results: Our findings show that software companies are responding to the DEI backlash in varied ways, including re-structuring programs, scaling back investments, or quietly continuing efforts under new labels. Professionals reported a wide range of emotional responses, from anxiety and frustration to relief and happiness, shaped by identity, role, and organizational culture. Yet, despite the backlash, multiple forms of resistance and adaptation have emerged to protect inclusive practices in software engineering. Conclusions: The DEI backlash is reshaping DEI in software engineering. While public messaging may soften or disappear, core DEI values persist in adapted forms. This study offers a new perspective into how inclusion is evolving under pressure and highlights the resilience of DEI in software environments.