
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.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
