ANALYSIS OF COLLABORATIVE SOFTWARE-DEVELOPMENT ARTIFACTS USING LARGE LANGUAGE MODELS TO ENHANCE TEAMWORK.
DOI:
https://doi.org/10.24867/33BE16PasanovicKeywords:
LLM, Shared Cognition, team dynamicsAbstract
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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