A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment

Gopalakrishnan Sriraman, Shriram R.

Open source

DOI: 10.3389/fcomp.2023.1214722
Published: 2023-10-06
Container: Frontiers in Computer Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fcomp.2023.1214722,
  title = {A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment},
  author = {Gopalakrishnan Sriraman and Shriram R.},
  year = {2023},
  journal = {Frontiers in Computer Science},
  doi = {10.3389/fcomp.2023.1214722},
  url = {https://doi.org/10.3389/fcomp.2023.1214722}
}

RIS

TY  - JOUR
TI  - A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment
AU  - Gopalakrishnan Sriraman
AU  - Shriram R.
PY  - 2023
JO  - Frontiers in Computer Science
DO  - 10.3389/fcomp.2023.1214722
UR  - https://doi.org/10.3389/fcomp.2023.1214722
ER  -

APA

Sriraman, G., & R., S. (2023). A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment. Frontiers in Computer Science. https://doi.org/10.3389/fcomp.2023.1214722

Source records

crossref · retrieved 2026-11-10T07:06:39.903Z