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A Functional Software Reference Architecture for LLM-Integrated Systems
Publication Type:
Conference/Workshop Paper
Venue:
22nd IEEE International Conference on Software Architecture
Abstract
The integration of large language models into
software systems is transforming capabilities such as natural
language understanding, decision-making, and autonomous task
execution. However, the absence of a commonly accepted software
reference architecture hinders systematic reasoning about their
design and quality attributes. This gap makes it challenging
to address critical concerns like privacy, security, modularity,
and interoperability, which are increasingly important as these
systems grow in complexity and societal impact. In this paper,
we describe our emerging results for a preliminary functional
reference architecture as a conceptual framework to address
these challenges and guide the design, evaluation, and evolution
of large language model-integrated systems. We identify key
architectural concerns for these systems, informed by current
research and practice. We then evaluate how the architecture
addresses these concerns and validate its applicability using
three open-source large language model-integrated systems in
computer vision, text processing, and coding
Bibtex
@inproceedings{Bucaioni7129,
author = {Alessio Bucaioni and Martin Weyssow and Junda He and Yunbo Lyu and David Lo},
title = {A Functional Software Reference Architecture for LLM-Integrated Systems},
month = {March},
year = {2025},
booktitle = {22nd IEEE International Conference on Software Architecture },
url = {http://www.ipr.mdu.se/publications/7129-}
}