ProfOlaf: Semi-Automated Tool for Systematic Literature Reviews

Fuente: arXiv
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Bibliographic Details
Main Authors: Afonso, Martim, Saavedra, Nuno, Lourenço, Bruno, Mendes, Alexandra, Ferreira, João
Format: Preprint
Published: 2025
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author Afonso, Martim
Saavedra, Nuno
Lourenço, Bruno
Mendes, Alexandra
Ferreira, João
author_facet Afonso, Martim
Saavedra, Nuno
Lourenço, Bruno
Mendes, Alexandra
Ferreira, João
contents Systematic reviews and mapping studies are critical to synthesize research, identify gaps, and guide future work, but are often labor-intensive and time-consuming. Existing tools provide partial support for specific steps, leaving much of the process manual and error-prone. We present ProfOlaf, a semi-automated tool designed to streamline systematic reviews while maintaining methodological rigor. ProfOlaf supports iterative snowballing for article collection with human-in-the-loop filtering and uses large language models to help select articles, extract key topics, and answer queries about the content of articles. By combining automation with guided manual effort, ProfOlaf enhances the efficiency, quality, and reproducibility of systematic reviews across research fields. ProfOlaf can be used both as a CLI tool and in web application format. A video demonstrating ProfOlaf is available at: https://youtu.be/R-gY4dJlN3s
format Preprint
id arxiv_https___arxiv_org_abs_2510_26750
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ProfOlaf: Semi-Automated Tool for Systematic Literature Reviews
Afonso, Martim
Saavedra, Nuno
Lourenço, Bruno
Mendes, Alexandra
Ferreira, João
Information Retrieval
Systematic reviews and mapping studies are critical to synthesize research, identify gaps, and guide future work, but are often labor-intensive and time-consuming. Existing tools provide partial support for specific steps, leaving much of the process manual and error-prone. We present ProfOlaf, a semi-automated tool designed to streamline systematic reviews while maintaining methodological rigor. ProfOlaf supports iterative snowballing for article collection with human-in-the-loop filtering and uses large language models to help select articles, extract key topics, and answer queries about the content of articles. By combining automation with guided manual effort, ProfOlaf enhances the efficiency, quality, and reproducibility of systematic reviews across research fields. ProfOlaf can be used both as a CLI tool and in web application format. A video demonstrating ProfOlaf is available at: https://youtu.be/R-gY4dJlN3s
title ProfOlaf: Semi-Automated Tool for Systematic Literature Reviews
topic Information Retrieval
url https://arxiv.org/abs/2510.26750