Enhancing devops using ai

Ghantous, GB

Enhancing devops using ai

Ghantous, GB

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Publisher:: CEUR-WS
Publication Type:: Journal Article
Citation:: CEUR Workshop Proceedings, 2024, 3790, pp. 133-145
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Ghantous, GB
dc.date.accessioned	2025-04-24T04:06:57Z
dc.date.available	2025-04-24T04:06:57Z
dc.date.issued	2024-01-01
dc.identifier.citation	CEUR Workshop Proceedings, 2024, 3790, pp. 133-145
dc.identifier.issn	1613-0073
dc.identifier.uri	http://hdl.handle.net/10453/187023
dc.description.abstract	This literature review delves into the amalgamation of Artificial Intelligence (AI) technologies with DevOps methodologies to augment software development and deployment processes. The paper explores into the multifaceted contributions of AI across various facets of DevOps, encompassing source code management, continuous integration/continuous deployment (CI/CD) pipelines, deployment infrastructure, software testing frameworks, logging mechanisms, data analysis tools, and comprehensive reporting systems. Furthermore, the research investigates the impact of AI on team communication, collaboration, and workflow orchestration within DevOps environments. Through a meticulous analysis of AI-driven advancements, this review aims to shed light on the symbiotic relationship between AI and DevOps, showcasing their collective potential in fostering efficient, high-quality software delivery pipelines. The insights gleaned from this exploration offer valuable perspectives and opinions for researchers and practitioners seeking to leverage cutting-edge technologies for optimizing their software development lifecycle.
dc.language	en
dc.publisher	CEUR-WS
dc.relation.ispartof	CEUR Workshop Proceedings
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4609 Information systems
dc.title	Enhancing devops using ai
dc.type	Journal Article
utslib.citation.volume	3790
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-04-24T04:06:55Z
pubs.publication-status	Published
pubs.volume	3790

Abstract:

This literature review delves into the amalgamation of Artificial Intelligence (AI) technologies with DevOps methodologies to augment software development and deployment processes. The paper explores into the multifaceted contributions of AI across various facets of DevOps, encompassing source code management, continuous integration/continuous deployment (CI/CD) pipelines, deployment infrastructure, software testing frameworks, logging mechanisms, data analysis tools, and comprehensive reporting systems. Furthermore, the research investigates the impact of AI on team communication, collaboration, and workflow orchestration within DevOps environments. Through a meticulous analysis of AI-driven advancements, this review aims to shed light on the symbiotic relationship between AI and DevOps, showcasing their collective potential in fostering efficient, high-quality software delivery pipelines. The insights gleaned from this exploration offer valuable perspectives and opinions for researchers and practitioners seeking to leverage cutting-edge technologies for optimizing their software development lifecycle.

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http://hdl.handle.net/10453/187023