On the road to interactive LLM-based systematic mapping studies
2025 (English) In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 178, article id 107611Article in journal (Refereed) Published
Abstract [en]
Context: The research volume is continuously increasing. Manual analysis of large topic scopes and continuously updating literature studies with the newest research results is effort intensive and, therefore, difficult to achieve.
Objective: To discuss possibilities and next steps for using LLMs (e.g., GPT-4) in the mapping study process.
Method: The research can be classified as a solution proposal. The solution was iteratively designed and discussed among the authors based on their experience with LLMs and literature reviews.
Results: We propose strategies for the mapping process, outlining the use of agents and prompting strategies for each step.
Conclusion: Given the potential of LLMs in literature studies, we should work on a holistic solutions for LLM-supported mapping studies.
Place, publisher, year, edition, pages Elsevier, 2025. Vol. 178, article id 107611
Keywords [en]
GPT, Large language models, Systematic mapping studies, Mapping, Classifieds, Language model, Large language model, Literature reviews, Literature studies, Manual analysis, Mapping studies, Research results
National Category
Software Engineering
Identifiers URN: urn:nbn:se:bth-27106 DOI: 10.1016/j.infsof.2024.107611 ISI: 001351330500001 Scopus ID: 2-s2.0-85208101590 OAI: oai:DiVA.org:bth-27106 DiVA, id: diva2:1913976
2024-11-182024-11-182024-11-25 Bibliographically approved