University of Central Missouri, Warrensburg MO USA.
International Journal of Science and Research Archive, 2025, 15(02), 1907–1917
Article DOI: 10.30574/ijsra.2025.15.2.1572
Received on 14 April 2025; revised on 16 May 2025; accepted on 19 May 2025
The convergence of Artificial Intelligence (AI), DevOps, and IT Service Management (ITSM) is transforming the future of intelligent software engineering. This review provides a comprehensive synthesis of AI methods implemented in DevOps and ITSM over the past decade. From anomaly detection and incident triage to CI/CD optimization and automated change management, the integration of AI enables self-healing, adaptive, and predictive operations. We highlight the theoretical models, architectures, and experimental validations that demonstrate significant improvements in efficiency, fault tolerance, and automation quality. Despite promising advances, key research gaps remain, particularly in model generalizability, data privacy, explainability, and real-world scalability. This paper concludes by proposing a roadmap for future research in AI-first DevOps and ITSM to drive next-generation continuous software engineering.
AI-First DevOps; ITSM; Machine Learning; Continuous Software Engineering; Predictive Analytics; CI/CD Optimization; Anomaly Detection; Root Cause Analysis; NLP In IT Operations
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Aravind Barla. AI-First DevOps and ITSM: Building a scalable model for intelligent, continuous software engineering. International Journal of Science and Research Archive, 2025, 15(02), 1907–1917. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1572.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
