GitHub Copilot提升开发效率，但需关注安全与版权风险。
The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions
- 综合文献分析Copilot在编码中的应用效果
- 发现其加速开发但存在漏洞和版权隐患
- 提出负责任使用AI的实践建议，适合开发者参考
GitHub Copilot通过AI驱动的代码生成正在重塑软件开发，显著提升编程效率。本文通过综述学术期刊、行业报告与官方文档，系统分析其对生产力与安全性的双重影响。研究发现，尽管Copilot能加快编码与原型构建，但依然存在引入安全漏洞及知识产权争议的风险。基于现有文献，本文提出适用于软件工程领域的最佳实践与未来发展方向，为开发者和组织提供可操作的指导，以在提升效率的同时保障代码质量与安全性。
原文摘要 · Abstract (English)
GitHub Copilot is transforming software development by automating tasks and boosting productivity through AI driven code generation. In this paper, we conduct a literature survey to synthesize insights on Copilot's impact on productivity and security. We review academic journal databases, industry reports, and official documentation to highlight key findings and challenges. While Copilot accelerates coding and prototyping, concerns over security vulnerabilities and intellectual property risks persist. Drawing from the literature, we provide a perspective on best practices and future directions for responsible AI adoption in software engineering, offering actionable insights for developers and organizations to integrate Copilot effectively while maintaining high standards of quality and security.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。