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Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability ...
An attribute agreement analysis is designed to simultaneously evaluate the impact of repeatability and reproducibility on accuracy. It allows the analyst to examine the responses from multiple reviewers as they look at several scenarios multiple times.
The precision of a measurement system, related to reproducibility and repeatability, is the degree to which repeated measurements under unchanged conditions show the same results. [3] [4] Although the two words precision and accuracy can be synonymous in colloquial use, they are deliberately contrasted in the context of the scientific method.
When dealing with safety-critical systems, the acronym reliability, availability, maintainability and safety is frequently used. [citation needed] Dependability is an aggregate of availability, reliability, safety, integrity and maintainability. Integrity depends on security and survivability.
The categories are: Damage – how bad would an attack be?; Reproducibility – how easy is it to reproduce the attack?; Exploitability – how much work is it to launch the attack?
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Reproducibility crisis and other issues of research transparency have become a public topic addressed in the general press: "Reproducibility conversations are also unique compared to other methodological conversations because they have received sustained attention in both the scientific literature and the popular press".
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