Systematic Literature Review

Systematic literature reviews (SLRs) are rigorous research methodologies used to synthesize existing knowledge on a specific topic, aiming to provide a comprehensive and unbiased overview of the current state of research. Recent studies highlight the increasing use of AI, particularly large language models (LLMs) and deep learning architectures, to automate various stages of the SLR process, from literature searching and screening to data extraction and synthesis. This automation offers significant potential for improving efficiency and reducing bias in research, impacting diverse fields from software engineering and healthcare to cybersecurity and agriculture, where evidence-based decision-making is crucial. Furthermore, research emphasizes the need for transparency and explainability in AI-driven SLRs, ensuring the reliability and trustworthiness of the resulting knowledge synthesis.