Skip to content
Free planNo credit card requiredStart writing

article · Information and Software Technology · 2021

The do’s and don’ts of infrastructure code: A systematic gray literature review

Indika Kumara, Martín Garriga, Angel Urbano Romeu, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem‐Jan van den Heuvel

Cited by 52Open access

Abstract

The index has no abstract for this paper. The publisher’s page may have one.

Cite this paper

APA 7

Kumara, I., Garriga, M., Romeu, A. U., Di Nucci, D., Palomba, F., Tamburri, D. A., & van den Heuvel, W. (2021). The do’s and don’ts of infrastructure code: A systematic gray literature review. Information and Software Technology, 137, 106593. https://doi.org/10.1016/j.infsof.2021.106593

MLA 9

Kumara, Indika, et al. “The do’s and don’ts of infrastructure code: A systematic gray literature review.” Information and Software Technology, vol. 137, 2021, p. 106593, https://doi.org/10.1016/j.infsof.2021.106593.

Chicago

Kumara, Indika, Martín Garriga, Angel Urbano Romeu, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, and Willem‐Jan van den Heuvel. 2021. “The do’s and don’ts of infrastructure code: A systematic gray literature review.” Information and Software Technology 137: 106593. https://doi.org/10.1016/j.infsof.2021.106593.

Harvard

Kumara, I. et al. (2021) ‘The do’s and don’ts of infrastructure code: A systematic gray literature review’, Information and Software Technology, 137, p. 106593. Available at: https://doi.org/10.1016/j.infsof.2021.106593.

BibTeX
@article{kumara2021infrastructure,
  title = {{The do’s and don’ts of infrastructure code: A systematic gray literature review}},
  author = {Kumara, Indika and Garriga, Martín and Romeu, Angel Urbano and Di Nucci, Dario and Palomba, Fabio and Tamburri, Damian A. and van den Heuvel, Willem‐Jan},
  journal = {Information and Software Technology},
  volume = {137},
  pages = {106593},
  year = {2021},
  doi = {10.1016/j.infsof.2021.106593}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.