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

2025-07-12

AI Summary

Modern online services face escalating risks of service failures and financial losses due to frequent software changes. To address this, we propose SCELM, an end-to-end automated change lifecycle management framework. SCELM innovatively integrates Chain-of-Thought (CoT) reasoning with software change impact analysis to construct an interpretable, automated decision-making model that orchestrates the full change lifecycle—including assessment, approval, deployment, and rollback—in a closed-loop manner. Compared to conventional approaches, SCELM significantly enhances decision transparency and system stability: experiments demonstrate a 37.2% reduction in service failure rate, a 51.6% decrease in mean time to recovery (MTTR), and a 42.8% improvement in operations personnel’s accuracy in risk assessment. This work establishes a scalable, verifiable paradigm for intelligent change governance in highly available cloud services.

Technology Category

• Planning, Routing, and Scheduling: Model-Based Reasoning
• Reasoning under Uncertainty: Sequential Decision Making
• Machine Learning: Scalability of ML Systems

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications

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.

Problem

• Enhancing interpretability in software change management
• Reducing risks from frequent software changes
• Automating end-to-end change evaluation and lifecycle

Innovation

• SCELM framework automates software change management
• End-to-end solution reduces service failures
• Chain-of-Thought Reasoning enhances interpretability