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Electrotechnical and Computer Engineering

Vol. 40 No. 12 (2025): Proceedings of the Faculty of Technical Sciences

ANALYSIS OF COLLABORATIVE SOFTWARE-DEVELOPMENT ARTIFACTS USING LARGE LANGUAGE MODELS TO ENHANCE TEAMWORK.

  • Halid Pašanović
DOI:
https://doi.org/10.24867/33BE16Pasanovic
Submitted
December 9, 2025
Published
2026-02-18

Abstract

Team efficiency directly impacts organizational success, especially within software engineering contexts, where effective collaboration is critical. This paper comprehensively explores the use of Large Language Models (LLMs) as tools for analyzing and improving team dynamics, emphasizing the development of Shared Cognition. An experimental approach was employed to analyze various data sources, including sprint retrospectives, GitHub histories, and Trello activity logs, identifying team behavior patterns and proposing specific improvement strategies.

References

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