Plausibility check
The plausibility check , also plausibility check , plausibility test or plausibility check , is a method in the context of which a value or a result in general is roughly checked to determine whether it can be plausible at all , i.e. acceptable, plausible and comprehensible or not.
The correctness of the value or result cannot always be verified, but any obvious incorrectness that may be present should be recognized. One advantage of the plausibility check is that it can be carried out with little effort, a disadvantage is that less obvious inaccuracies in its framework are not recognized.
Plausibility checks can in part be carried out without any problems using knowledge that is already available.
Examples
Average age
If a calculation of the average age of the people in “Somewhere” resulted in the value 200 years, it would be clear to everyone that this value can only be incorrect. The determination of the inaccuracy does not need any discussion. The value is therefore not plausible and can be described as incorrect.
Law
Since, in order to estimate the time required by a supervisor according to Section 287 of the Code of Civil Procedure (ZPO), proof of all and even smaller periods of time cannot be required, the judge may and must be content with a list of the expenditure and a plausibility check.
Association of Statutory Health Insurance Physicians
The plausibility committee elected by the representative assembly of the Association of Statutory Health Insurance Physicians first checks the bills of the individual doctors if there are indications of an implausible billing.
Implausibility is assumed if the daily working time on more than 2 working days is more than 12 hours per contract doctor / contract psychotherapist and / or the quarterly working time is more than 780 hours per contract doctor or contract psychotherapist.
The bills of authorized persons are considered conspicuous (implausible) if more than 12 hours are billed on more than 2 working days and / or the quarterly working time is more than 156 hours.
Computer area
Plausibility checks can be carried out in both hardware and software . Plausibility checks in hardware are naturally limited to the monitoring of signals, for example, which may only occur in certain combinations and sequences. Measured values can be checked for their (plausible) value range and their course over time.
In software technology, the plausibility check of a variable denotes whether it belongs to a certain data type or lies in a specified range of values or a specified set of values. It is an important aspect of quality assurance, which is intended to ensure that an implemented program meets the requirements set out in advance. In this sense, plausibility checks are also referred to as validation or sanity check .
Plausibility rule
A plausibility rule is a business rule that must be fulfilled if data from application software are considered plausible (as credible) and are to be further processed. Plausibility rules are often expressed as a formula and describe permissible limit values, the relationship between data that belong together or something similar.
Example (should apply to each individual person):
Year of enrollment> = year (date of birth) + 6
As a rule, they are called because they often apply only under certain conditions.
Plausibility rules for data collection
The data acquisition programs of database applications usually automatically check a large number of plausibility rules. This should help to noticeably increase the data quality . If newly recorded or changed data are not plausible, they are either rejected or only saved in the database with an "invalid" label for later correction.
Depending on the software technology used, these rules are either incorporated into the program code by the programmer or read in and interpreted by a flexible program at runtime.
Plausibility check of statistical data
A special form are rules for checking and improving the quality of compressed data from different sources in statistics or in a data warehouse .
Examples (should apply to each individual product type):
Production + import = consumption + export
or.
Own production + purchase = own consumption + sale
In a process called "plausibility check", the transferred data is checked partly automatically and partly manually for plausibility and corrected accordingly if necessary.
Individual evidence
- ↑ OLG Schleswig : Decision of August 22, 1997 - 2 W 62/97. In: Journal for the entire family law . 1998, p. 185.