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cs.SE2023★ 1 cited
An empirical study of testing machine learning in the wild
Moses Openja, Foutse Khomh, Armstrong Foundjem +4
Recently, machine and deep learning (ML/DL) algorithms have been increasingly adopted in many software systems. Due to their inductive nature, ensuring the quality of these systems…
cs.SE2023
On the Model Update Strategies for Supervised Learning in AIOps Solutions
Yingzhe Lyu, Heng Li, Zhen Ming +2
AIOps (Artificial Intelligence for IT Operations) solutions leverage the massive data produced during the operation of large-scale systems and machine learning models to assist sof…