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Dynamic Agent Generation for Self-Adaptive Root Cause Analysis

descriptionPublicationkeyboard_double_arrow_right Data Paper , Other literature type , Conference object 26 Oct 2025 France English Publisher:Zenodo
Authors: Sanwouo, Brell; Temple, Paul; Quinton, Clément;

doi: 10.5281/zenodo.17446398 , 10.5281/zenodo.18302941

Dynamic Agent Generation for Self-Adaptive Root Cause Analysis

Abstract

This repository is the companion repository of the paper entitled "Dynamic Agent Generation for Self-Adaptive Root Cause Analysis" Accepted at SEAMS'26. Most of the informations are located in the README.md files. Also includes the artifacts of the study (datasets, results).

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Keywords

Large Language Model, Multi-modal data, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Root Cause Analysis, Microservice System, Self-Adaptive System, Agent

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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