Predictive maintenance of infrastructure code using “fluid” datasets: An exploratory study on Ansible defect proneness
Author:
Affiliation:
1. Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Milan Italy
2. Jeronimus Academy of Data Sciences Eindhoven University of Technology 's‐Hertogenbosch The Netherlands
Publisher
Wiley
Subject
Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/smr.2480
Reference46 articles.
1. ArtacM BorovssakT Di NittoE GuerrieroM TamburriDA.Devops: introducing infrastructure‐as‐code. In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE‐C) IEEE;2017:497‐498.
2. Gartner.The Cost of Downtime.2014.https://blogs.gartner.com/andrew-lerner/2014/07/16/the-cost-of-downtime/
3. RahmanA Mahdavi‐HezavehR WilliamsL.Where are the gaps? A systematic mapping study of infrastructure as code research. arXiv preprint arXiv:180704872;2018.
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