DevOps for information management systems

Qumer Gill, A; Loumish, A; Riyat, I; Han, S

DevOps for information management systems

Qumer Gill, A

Loumish, A Riyat, I Han, S

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Publication Type:: Journal Article
Citation:: VINE Journal of Information and Knowledge Management Systems, 2018, 48 (1), pp. 122 - 139
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Qumer Gill, A https://orcid.org/0000-0001-6239-6280	en_US
dc.contributor.author	Loumish, A	en_US
dc.contributor.author	Riyat, I	en_US
dc.contributor.author	Han, S	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	VINE Journal of Information and Knowledge Management Systems, 2018, 48 (1), pp. 122 - 139	en_US
dc.identifier.issn	2059-5891	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132762
dc.description.abstract	© 2018, Emerald Publishing Limited. Purpose: Development and operations (DevOps) is complex in nature. Organizations are unsure how to effectively establish a DevOps capability for the continuous delivery of information management systems. This paper aims to compile and analyze DevOps by applying the well-known systematic literature review (SLR) approach. This review is intended to provide a knowledge base to support the informed, effective and less risky adoption of DevOps for information management systems. Design/methodology/approach: In this qualitative research study, the SLR method was applied to identify 3,790 papers, of which, 32 relevant papers were selected and reviewed. Findings: The results are organized using the well-known ISO/IEC 24744 metamodel elements: people (roles), process, technology and artifacts. In total 11 major roles, 6 processes, 23 technologies, 5 artifacts and 7 challenges (including 6 corresponding solutions) were found. DevOps engineer is becoming a newly identified role. Continuous delivery pipeline and continuous improvement are the most highlighted major DevOps processes. Build system technology is becoming the key focus of DevOps. Finally, major challenges are around people and culture and the misunderstanding of DevOps. Potential research areas are: DevOps analytics, artifacts and tool–chain integration. Research limitations/implications: The research findings will serve as a resource for both practitioners and researchers who have interest in the research and adoption of DevOps for information management systems. Originality/value: This paper provides a comprehensive systematic review of the body of knowledge to support the ongoing research and adoption of emerging trends of DevOps for information management systems.	en_US
dc.relation.ispartof	VINE Journal of Information and Knowledge Management Systems	en_US
dc.relation.isbasedon	10.1108/VJIKMS-02-2017-0007	en_US
dc.title	DevOps for information management systems	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	48	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	48	en_US

Abstract:

© 2018, Emerald Publishing Limited. Purpose: Development and operations (DevOps) is complex in nature. Organizations are unsure how to effectively establish a DevOps capability for the continuous delivery of information management systems. This paper aims to compile and analyze DevOps by applying the well-known systematic literature review (SLR) approach. This review is intended to provide a knowledge base to support the informed, effective and less risky adoption of DevOps for information management systems. Design/methodology/approach: In this qualitative research study, the SLR method was applied to identify 3,790 papers, of which, 32 relevant papers were selected and reviewed. Findings: The results are organized using the well-known ISO/IEC 24744 metamodel elements: people (roles), process, technology and artifacts. In total 11 major roles, 6 processes, 23 technologies, 5 artifacts and 7 challenges (including 6 corresponding solutions) were found. DevOps engineer is becoming a newly identified role. Continuous delivery pipeline and continuous improvement are the most highlighted major DevOps processes. Build system technology is becoming the key focus of DevOps. Finally, major challenges are around people and culture and the misunderstanding of DevOps. Potential research areas are: DevOps analytics, artifacts and tool–chain integration. Research limitations/implications: The research findings will serve as a resource for both practitioners and researchers who have interest in the research and adoption of DevOps for information management systems. Originality/value: This paper provides a comprehensive systematic review of the body of knowledge to support the ongoing research and adoption of emerging trends of DevOps for information management systems.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132762