Accuracy
The
correctness
quality subfactor,
accuracy, is the magnitude of defects (i.e.,
the deviation of the actual or average measurements from their
true value) in quantitative data.
Accuracy is typically measured in terms of:
- Confidence Interval
- Standard Deviation
- Maximum Error
See
accuracy requirements.
Typical mechanisms for improving the accuracy of data
include:
The following guidelines have been found to be useful when
producing accuracy requirements:
- Accuracy does not refer to character data. For example,
the minimum size of textual data should be specified as a
data requirement rather than an accuracy requirement.
- Numerical data can be accurate without being precise, and
precise without being accurate.
- For example, a temperature sensor is accurate to 0.1°
Celsius if the temperature measurement returned by the
temperature sensor is always within 0.1° of the true
temperature.