利用思维链推理增强软件变更管理的可解释性
Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning
- Nankai University \& TKL-SEHCI Tianjin \ China
- Nankai University Tianjin China
- Tsinghua University Beijing China
- CHINA TIANCHEN ENGINEERING CORPORATION LTD. Tianjin China
- Nankai University \& HL-IT Tianjin China
- Tencent Technologies Beijing China
- Tsinghua University \& BNRist Beijing China
- Nankai University \& TKL-SEHCI
- Nankai University
- Tsinghua University
- CHINA TIANCHEN ENGINEERING CORPORATION LTD.
- Nankai University \& HL-IT
- Tencent Technologies
- Tsinghua University \& BNRist
机构由 AI 辅助整理，请以论文原文为准。
更新
AI总结：
针对在线服务中频繁软件变更带来的风险，提出端到端自动化框架SCELM，通过高效精确的软件变更管理显著减少服务故障与经济损失。
AI中文摘要：
在现代在线服务中，频繁的软件变更引入了重大风险。为应对这一挑战，我们提出了SCELM（软件变更评估与生命周期管理），一个用于软件变更管理的端到端自动化框架。SCELM旨在高效且精确地管理软件变更，显著减少服务故障与经济损失。
英文摘要：
In modern online services, frequent software changes introduce significant risks. To tackle this challenge, we propose SCELM (Software Change Evaluation and Lifecycle Management), an end-to-end automated framework for software change management. SCELM aims to manage software changes efficiently and precisely, significantly reducing service failures and economic losses.
