AnsibleMetrics - A Python library for measuring Infrastructure-as-Code blueprints in Ansible

Stefano Dalla Palma; Dario Di Nucci; Damian A. Tamburri

doi:10.1016/J.SOFTX.2020.100633

AnsibleMetrics - A Python library for measuring Infrastructure-as-Code blueprints in Ansible

Stefano Dalla Palma (Corresponding author), Dario Di Nucci, Damian A. Tamburri

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

Infrastructure-as-Code (IaC) has recently received increasing attention in the research community, mainly due to the paradigm shift it brings in software design, development, and operations management. However, while IaC represents an ever-increasing and widely adopted practice, concerns arise about the need for instruments that help DevOps engineers efficiently maintain, speedily evolve, and continuously improve Infrastructure-as-Code. In this paper, we present AnsibleMetrics, a Python-based static source code measurement tool to characterize Infrastructure-as-Code. Although we focus on Ansible, the most used language for IaC, our tool could be easily extended to support additional formats. AnsibleMetrics represents a step forward towards software quality support for DevOps engineers developing and maintaining infrastructure code.

Original language	English
Article number	100633
Number of pages	6
Journal	SoftwareX
Volume	12
DOIs	https://doi.org/10.1016/J.SOFTX.2020.100633
Publication status	Published - 1 Jul 2020

Keywords

Infrastructure as Code
Software metrics
Software quality

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10.1016/J.SOFTX.2020.100633

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AnsibleMetrics - A Python library for measuring Infrastructure-as-Code blueprints in Ansible

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Keywords

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