SEAIJul 12, 2025

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning

arXiv:2507.09315v12 citationsh-index: 28
Originality Synthesis-oriented
AI Analysis

This addresses the problem of software change risks for online service providers, but appears incremental as it builds on existing automation concepts.

The paper tackles the problem of frequent software changes introducing risks in online services by proposing SCELM, an automated framework for software change management, which aims to reduce service failures and economic losses.

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.

Foundations

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