Comparing Transformer-Based Log Anomaly Detection With LLM Explainability In CI/CD Pipelines

With the DevOps setups of today, automating Continuous Integration and Deployment (CI/CD) pipelines is a necessity for achieving rapid software delivery. These pipelines generate enormous logs, which, despite being useful for debugging and monitoring, become cumbersome to analyze manually. In this c...

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Vydané v:	2025 Intelligent Methods, Systems, and Applications​ (IMSA) s. 370 - 375
Hlavní autori:	Al-Aqrabi, Qasem Magdi, Al-Aqrabi, Hatem Magdi, Solayman, Marwa M.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.07.2025
Predmet:	Anomaly detection Calibration CI/CD pipelines Context modeling DevOps DevOps automation Explainable AI Feedback learning Pipelines Semantics Software Training Transformer models Transformers Visualization
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