This paper presents SLRMentor, a conversational assistant designed to support both learning about the systematic literature review process and the execution of planning activities in software engineering. The tool offers general guidance on SLR methodology and supports key planning tasks, including search string construction and reasoning about inclusion and exclusion criteria, with explanations grounded in established SLR guidelines. A pilot validation with graduate students suggests that SLRMentor helps clarify the SLR process and planning decisions, lowers initial barriers for novice researchers, and supports learning while still requiring active methodological judgment.

翻译：本文介绍了SLRMentor——一种对话式辅助工具，旨在支持软件工程领域系统文献综述流程的学习以及规划活动的执行。该工具提供关于SLR方法的通用指导，并支持关键规划任务，包括检索字符串构建以及纳入与排除标准的推理，其解释基于成熟的SLR指南。研究生参与的试点验证表明，SLRMentor有助于阐明SLR流程与规划决策，降低新手研究者的初始入门门槛，并在支持学习的同时仍要求研究者保持主动的方法论判断能力。