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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Bibliographische Detailangaben

Veröffentlicht in:	2025 Intelligent Methods, Systems, and Applications​ (IMSA) S. 370 - 375
Hauptverfasser:	Al-Aqrabi, Qasem Magdi, Al-Aqrabi, Hatem Magdi, Solayman, Marwa M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.07.2025
Schlagworte:	Anomaly detection Calibration CI/CD pipelines Context modeling DevOps DevOps automation Explainable AI Feedback learning Pipelines Semantics Software Training Transformer models Transformers Visualization
Online-Zugang:	Volltext
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