Precision
The
correctness
quality subfactor,
precision, is the dispersion of the defects of quantitative data.
Precision is typically measured in terms of:
- The variability, standard deviation, or confidence
interval of quantitative data from its average value.
See
precision requirements.
Typical mechanisms for increasing precision include:
The following guidelines have been found to be useful when
producing precision requirements:
- Numerical data can be accurate without being precise, and
precise without being accurate.
- Precision is typically measures in terms of
- For example, a temperature sensor is precise to .1 degree
Celsius, but not very accurate because it consistently under
measures the temperature by 3.5 degrees. Thus, the standard
deviation of the temperature measurements may be sufficiently
precise, but nevertheless useless because the average
temperature measurement returned by the temperature sensor is
3.5 degrees less than the true temperature making the
temperature sensor not adequately accurate.