What is meant by Plausibilities?
The term "plausibilities" refers to the verification and assurance of credibility, traceability, and consistency of data, information, or processes in a software system. Plausibility checks serve to identify obvious errors, inconsistencies, or improbable values, thereby improving data quality and system reliability.
Typical software functions in the area of "plausibilities":
- Data validation: Automatic verification of input data for completeness, formatting, and validity.
- Boundary value checking: Control of whether values lie within defined ranges or tolerances.
- Consistency checking: Ensuring consistency of data across different system areas.
- Logical relationship checking: Verification of dependencies and relationships between different data elements.
- Historical comparisons: Comparison of current data with historical values to detect unusual deviations.
- Rule-based checks: Application of predefined business rules to assess the plausibility of data or processes.
Examples of "plausibilities":
- Age plausibility: Checking whether the entered date of birth leads to a realistic age.
- Revenue plausibility: Comparison of current revenue with historical data and industry averages.
- Address plausibility: Verification of the consistency of postal code, city, and street.
- Quantity plausibility: Checking whether ordered quantities are in proportion to usual order sizes.
- Date plausibility: Verifying that dates are in a logical sequence and within realistic time frames.
- Cost plausibility: Comparison of cost items with empirical values and budget limits.
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