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REDUSE - Will it Work on My Machine?\\A Study on Reproducibility Smells in Ansible Scripts

Authors: Sobhani, Ghazal; Haque, Israat; Sharma, Tushar;

REDUSE - Will it Work on My Machine?\\A Study on Reproducibility Smells in Ansible Scripts

Abstract

A study on reproducibility smellsThis study, first, identifies such programming practicesthat we refer to as reproducibility smells by conducting a comprehensive multi-vocal review. We implement a tool viz. REDUSE to identify reproducibility smells in Ansible scripts. Furthermore, we carry out an empirical study to reveal the proliferation of reproducibility smells in open-source projects and explore correlation and co-occurrence relationships among them. This tool detects programming practices, referred to as productivity smells, in Ansible scripts that can lead to reproducibility issues. What is this tool?This is a detection tool, designed to detect reproducibility smells in a pattern based mode.You can provide your ansible script in .yml format and get a .csv output containing task name, task number, smell name, reason of having the smell on the task.Please go through the readme file for more information.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average