Machine Learning for Software Aging Detection: A Systematic Mapping Study

doi:10.1016/j.jss.2025.112715

Machine Learning for Software Aging Detection: A Systematic Mapping Study

2025-11-22

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AI

R

Rafael José Moura

M

Maria Gizele Nascimento

DOI：10.1016/j.jss.2025.112715

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• A Systematic Mapping Study on ML-based software aging detection techniques. • Identification of commonly used indicators to detect software aging symptoms. • Identification of publicly available datasets for researching software aging detection. • Identification of the most frequently used ML algorithms, highlighting the predominance of supervised methods. • Discussion of open research challenges, including data labeling, model generalization, and explainability.

Machine Learning for Software Aging Detection: A Systematic Mapping Study

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