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ZENODO
Article . 2017
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2017
License: CC BY
Data sources: Datacite
ZENODO
Article . 2017
License: CC BY
Data sources: Datacite
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DESIGNING A LEAN-AGILE & DEVOPS MATURITY MODEL FOR CONTINUOUS IMPROVEMENT

Authors: Utham Kumar Anugula Sethupathy;

DESIGNING A LEAN-AGILE & DEVOPS MATURITY MODEL FOR CONTINUOUS IMPROVEMENT

Abstract

In 2017, organizations face intensifying pressure to accelerate digital delivery while maintaining reliability,security, and customer satisfaction. Traditional process frameworks provide valuable structure but often fail tocapture the dynamic, cross-functional realities of Lean-Agile and DevOps transformations. To address this gap,this paper proposes a structured Lean-Agile and DevOps Maturity Model that guides enterprises on theirjourney toward continuous improvement. The model synthesizes industry frameworks such as SAFe and Scrumwith DevOps practices including automated testing, continuous integration, and telemetry. It defines clear levelsof maturity across dimensions such as deployment automation, release management, observability, securityintegration, and organizational culture. By providing a staged roadmap, the model enables teams to benchmarktheir current capabilities, identify bottlenecks, and prioritize investments. Through case studies in financialservices, telecommunications, and e-commerce, we demonstrate how organizations applying this model reducedrelease lead times by more than 70%, improved deployment success rates by 40%, and institutionalized continuousimprovement practices at scale. We conclude that structured maturity models remain essential in 2017 for aligningleadership, technology, and culture, offering both a diagnostic lens and a continuous improvement engine formodern enterprises.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average