Replication Package for "AIOps with LLMs in Cloud and Microservices Incident Management: A Systematic Mapping Study"

This repository contains the replication package for the systematic mapping study "AIOps with LLMs in Cloud and Microservices Incident Management: A SystematicMapping Study".

The package includes the following artifacts:

articles.xls: This file contains the list of studies identified and those selected during the systematic mapping process. For each study, the dataset includes bibliographic metadata such as title, authors, publication year, venue, and Digital Object Identifier (DOI).

data_extraction.xls: Full data extraction form with fields aligned to the four research questions (Q1–Q4), including task taxonomy, LLM families and models, operational data types, evaluation metrics, and reproducibility indicators.

data_extraction.sql: This file contains SQL scripts generated from the data available in the data_extraction.xls dataset. The SQL representation of the extracted data enables the execution of queries to support data processing, aggregation, and analysis of the extracted information.

The systematic mapping followed the PRISMA guidelines and the PICO framework.The search was conducted in January 2026 across ACM Digital Library, IEEE Xplore,Scopus, and Engineering Village.

本仓库为系统映射研究《云与微服务事件管理中结合大语言模型（LLM）的智能运维（AIOps）：一项系统映射研究》提供复现套件。

该套件包含以下成果制品：

articles.xls：该文件收录了系统映射流程中识别出的以及最终入选的研究文献列表。每条记录附带文献元数据，包括标题、作者、发表年份、刊载来源以及数字对象标识符（Digital Object Identifier，DOI）。

data_extraction.xls：该文件为完整的数据提取表单，其字段对应四项研究问题（Q1至Q4），涵盖任务分类体系、大语言模型家族与模型、运维数据类型、评估指标以及可复现性指标。

data_extraction.sql：该文件包含从data_extraction.xls数据集生成的SQL脚本。通过对提取数据的SQL化存储，可执行查询以支持对提取信息的数据处理、聚合与分析。

本系统映射研究遵循PRISMA指南与PICO框架，于2026年1月在ACM数字图书馆（ACM Digital Library）、IEEE Xplore、Scopus以及Engineering Village中开展文献检索。