团队在医疗系统开发中试用生成式AI，总结实用经验。
Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare
- 将生成式AI用于需求、设计、开发和测试全流程
- 虽无确凿证据提升质量，但积累可复用的实践建议
- 适合探索AI辅助开发的软件团队参考
生成式人工智能技术的快速发展正在深刻影响各类工作流程，软件工程也不例外。尽管该技术在软件工程中的应用尚处初期，且缺乏充分研究支持与技术成熟度，我们仍决定在一项面向胸腔疾病研究组临床试验的Web系统开发中引入生成式AI。本文记录了开发团队在项目管理、需求分析、系统设计、编码实现及质量保证等环节使用生成式AI的实际经验。虽然目前尚未获得可量化证明其显著提升开发质量的证据，但所积累的经验与建议对希望借助生成式AI创新开发流程的组织具有重要参考价值。
原文摘要 · Abstract (English)
The advances and availability of technologies involving Generative Artificial Intelligence (AI) are evolving clearly and explicitly, driving immediate changes in various work activities. Software Engineering (SE) is no exception and stands to benefit from these new technologies, enhancing productivity and quality in its software development processes. However, although the use of Generative AI in SE practices is still in its early stages, considering the lack of conclusive results from ongoing research and the limited technological maturity, we have chosen to incorporate these technologies in the development of a web-based software system to be used in clinical trials by a thoracic diseases research group at our university. For this reason, we decided to share this experience report documenting our development team's learning journey in using Generative AI during the software development process. Project management, requirements specification, design, development, and quality assurance activities form the scope of observation. Although we do not yet have definitive technological evidence to evolve our development process significantly, the results obtained and the suggestions shared here represent valuable insights for software organizations seeking to innovate their development practices to achieve software quality with generative AI.
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