Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes

Capacity management is critical for software organizations to allocate resources effectively and meet operational demands. An important step in capacity management is predicting future resource needs often relies on data-driven analytics and machine learning (ML) forecasting models, which require fr...

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Bibliographic Details

Published in:	Proceedings - International Symposium on Software Reliability Engineering pp. 394 - 405
Main Authors:	Poenaru-Olaru, Lorena, van 't Hof, Wouter, Stando, Adrian, Trawinski, Arkadiusz P., Kapel, Eileen, Rellermeyer, Jan S., Cruz, Luis, van Deursen, Arie
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.10.2025
Subjects:	Accuracy Adaptation models Computational modeling concept drift detection Data models Detectors Forecasting Predictive models retraining based on drift detection Software Software reliability Time series analysis time series forecasting
ISSN:	2332-6549
Online Access:	Get full text
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