SWARM-SLR AIssistant: A Unified Framework for Scalable Systematic Literature Review Automation

Fuente: arXiv
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Main Authors: Wittenborg, Tim, Oelen, Allard, Prinz, Manuel
Format: Preprint
Published: 2026
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author Wittenborg, Tim
Oelen, Allard
Prinz, Manuel
author_facet Wittenborg, Tim
Oelen, Allard
Prinz, Manuel
contents Despite a growing ecosystem of tools supporting Systematic Literature Reviews (SLRs), integrating them into user-friendly workflows remains challenging. The Streamlined Workflow for Automating Machine-Actionable Systematic Literature Reviews (SWARM-SLR) unified the tool annotation and provided a cohesive yet modular workflow, but faced scalability and usability issues. We introduce the SWARM-SLR AIssistant, a unified framework that combines the SWARM-SLR's structured methodology with an agent-based assistant that integrates research tools in a modular interface. The first SWARM-SLR stage is integrated, enabling conversational, LLM-guided support and persistent data storage. To address the tool assessment bottleneck, we propose a centralized tool registry that allows developers to annotate and register tools autonomously using a shared metadata schema. Preliminary evaluation shows improved usability, but challenges remain in balancing efficiency, accessibility, and transparency. Further development is needed to realize scalable SLR automation.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05177
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle SWARM-SLR AIssistant: A Unified Framework for Scalable Systematic Literature Review Automation
Wittenborg, Tim
Oelen, Allard
Prinz, Manuel
Digital Libraries
Despite a growing ecosystem of tools supporting Systematic Literature Reviews (SLRs), integrating them into user-friendly workflows remains challenging. The Streamlined Workflow for Automating Machine-Actionable Systematic Literature Reviews (SWARM-SLR) unified the tool annotation and provided a cohesive yet modular workflow, but faced scalability and usability issues. We introduce the SWARM-SLR AIssistant, a unified framework that combines the SWARM-SLR's structured methodology with an agent-based assistant that integrates research tools in a modular interface. The first SWARM-SLR stage is integrated, enabling conversational, LLM-guided support and persistent data storage. To address the tool assessment bottleneck, we propose a centralized tool registry that allows developers to annotate and register tools autonomously using a shared metadata schema. Preliminary evaluation shows improved usability, but challenges remain in balancing efficiency, accessibility, and transparency. Further development is needed to realize scalable SLR automation.
title SWARM-SLR AIssistant: A Unified Framework for Scalable Systematic Literature Review Automation
topic Digital Libraries
url https://arxiv.org/abs/2603.05177