GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making

Traditional methods for making software deployment decisions in the automotive industry typically rely on manual analysis of tabular software test data. These methods often lead to higher costs and delays in the software release cycle due to their labor-intensive nature. Large Language Models (LLMs)...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Arsham Gholamzadeh Khoee, Yu, Yinan, Feldt, Robert, Freimanis, Andris, Patrick Andersson Rhodin, Parthasarathy, Dhasarathy
Format:	Artikel
Sprache:	eng
Schlagworte:	Cost analysis Decision making End users Large language models Multiagent systems Performance evaluation Prompt engineering Software testing Task complexity
Online-Zugang:	Volltext
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