A Holistic Framework for Evolving AI-Based Systems

Building easily modifiable software systems is a challenge for engineers. AI-based systems add AI models and data, which change frequently. This research identifies change scenarios and their impact in a framework for modifiable AI-based systems. This holistic framework consists of three architectural views and three AI-based themes. We apply this framework to various industry cases, to elicit which factors drive the evolution.

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Published
2025-04-27
DOI
https://doi.org/10.1109/cain66642.2025.00045
Primary Topic
Scheduling and Optimization Algorithms
Type
article
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article

A Holistic Framework for Evolving AI-Based Systems

Merel Veracx
Scheduling and Optimization Algorithms
article

A Holistic Framework for Evolving AI-Based Systems

Merel Veracx
article en

Abstract

Building easily modifiable software systems is a challenge for engineers. AI-based systems add AI models and data, which change frequently. This research identifies change scenarios and their impact in a framework for modifiable AI-based systems. This holistic framework consists of three architectural views and three AI-based themes. We apply this framework to various industry cases, to elicit which factors drive the evolution.

Fontys University of Applied Sciences (NL)
Openalex Percentile: Top 81%
Scheduling and Optimization Algorithms
DOISourceOpenAlex
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A Holistic Framework for Evolving AI-Based Systems — Merel Veracx · (2025) | TGRS Research Map | TGRS