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Tactic: Detection Based Model Repository
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: resource-adaptation
Title
Detection Based Model Repository
Description
Detection Based Model Repository involves training a model incrementally until drift is detected and then evaluating whether a previous model is suitable for the new context. It targets reoccurring CD by storing models trained in previous contexts to retain knowledge.
Participant
Machine Learning Practitioner.
Related software artifact
Machine Learning 'Artefact'.
Context
“Concept Drift. Architectural Design Decisions. Evolvability.”
Software feature
Incremental Model Training. Model Storage.
Tactic intent
Reduce concept drift.
Target quality attribute
Concept drift.
Other related quality attributes
Evolvability.
Measured impact
< unknown >
Source
Evolvability of Machine Learning-based Systems: An Architectural Design Decision Framework by Joran Leest et al. (DOI: 10.1109/ICSA-C57050.2023.00033)Graphical representation
