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Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning
July 12, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Yongqian Sun, Weihua Kuang, Chao Shen, Xidao Wen, Tinghua Zheng, Heng Liu, Shenglin Zhang, Bo Wu, Dan Pei
arXiv ID
2507.09315
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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.
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