Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews
Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews (SLRs). However, while capable of summarizing text, there is no guarantee they can meet the rigour, reliability, and transparency that SLRs require. Objectives: To support researchers intending to conduct SLRs using GenAI or those conducting empirical studies evaluating how well GenAI supports SLR tasks. Methods: First, we conducted a rapid review to identify studies that propose guidelines for evaluating and using GenAI and LLMs to support SLRs. Second, we drew on thought experiments, relevant guidance from th...
| Authors | Barbara Kitchenham, Sebastián Pizard, Lech Madeyski et al. |
|---|---|
| Primary category | cs.SE |
| Published | 27 July 2026 |
| Last updated at source | 27 July 2026 |
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