Smelly Variables in Ansible Infrastructure Code: Detection, Prevalence, and Lifetime

Research output: Chapter in Book/Report/Conference proceedingConference paper

40 Downloads (Pure)

Abstract

Infrastructure as Code is the practice of automating the provision- ing, configuration, and orchestration of network nodes using code in which variable values such as configuration parameters, node hostnames, etc. play a central role. Mistakes in these values are an important cause of infrastructure defects and corresponding outages. Ansible, a popular IaC language, nonetheless features se- mantics which can cause confusion about the value of variables.
In this paper, we identify six novel code smells related to Ansi- ble’s intricate variable precedence rules and lazy-evaluated template expressions. Their detection requires an accurate representation of control and data flow, for which we transpose the program depen- dence graph to Ansible. We use the resulting detector to empirically investigate the prevalence of these variable smells in 21,931 open- source Ansible roles, uncovering 31,334 unique smell instances across 4,260 roles. We observe an upward trend in the number of variable smells over time, that it may take a long time before they are fixed, and that code changes more often introduce new smells than fix existing ones. Our results are a call to arms for more in- depth quality checkers for IaC code, and highlight the importance of transcending syntax in IaC research.
Original languageEnglish
Title of host publicationProceedings of MSR ’22: Proceedings of the 19th International Conference on Mining Software Repositories (MSR 2022)
PublisherACM
Number of pages12
ISBN (Electronic)978-1-4503-9303-4
DOIs
Publication statusAccepted/In press - 2022

Fingerprint

Dive into the research topics of 'Smelly Variables in Ansible Infrastructure Code: Detection, Prevalence, and Lifetime'. Together they form a unique fingerprint.

Cite this