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

TL;DR

This paper introduces SCELM, an automated framework designed to improve the management and interpretability of software changes, thereby reducing risks, failures, and economic losses in online services.

Contribution

The paper presents a novel end-to-end framework, SCELM, that enhances interpretability and efficiency in software change management using chain-of-thought reasoning.

Findings

SCELM reduces service failure rates.

SCELM improves decision-making transparency.

SCELM decreases economic losses from software failures.

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.