Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning
Sun, Yongqian, Kuang, Weihua, Shen, Chao, Wen, Xidao, Zheng, Tinghua, Liu, Heng, Zhang, Shenglin, Wu, Bo, Pei, Dan
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jul-15-2025
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