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Reliability means that

data are reasonably complete and accurate, meet your intended purposes, and are not subject to inappropriate alteration.[1]


Reliability is "the property of leading to consistent intended behaviour and results."[2]


Reliability is

the probability that a service will perform its required function for a specified period of time under stated conditions.[3]


Reliability is

the likelihood that a system will perform its intended function within the context it was designed to operate within.[4]
[t]he ability of a system or component to perform its required functions under stated conditions for a specified period of time. It is often measured as a probability of failure or a measure of availability.[5]
the ability of a system and its parts to perform its mission without failure degradation, or demand on the support system.[6]
the ability of a system to perform and maintain its functions in routine circumstances as well as hostile or unexpected circumstances.[7]

Overview (Data)[]

A decision that computer-processed data are reliable does not necessarily mean that the data are error-free. Errors are considered acceptable in this circumstance: You have assessed the associated risk and conclude that the errors are not substantial enough to cause a reasonable person, aware of the errors, to doubt a finding, conclusion, or recommendation based on the data.

Overview (Service)[]

Reliability focuses on a system's ability to perform as intended, despite apparently random hardware and software failures.


See also[]