Parandatavust

Parandatavust is a concept used to describe the ability of a system, process, or dataset to be corrected or repaired when faults or errors are detected. It signals how easily deviations from the desired state can be identified, diagnosed, and restored, and it is often considered alongside other quality attributes such as reliability and maintainability.

In engineering and product design, high parandatavust is fostered by modular design, clear interfaces, accessible diagnostics, thorough documentation, and the availability of spare parts or replaceable components. In software engineering, it is closely linked to maintainability and debuggability, supported by practices such as version control, automated testing, robust error reporting, reproducible builds, and mechanisms for rolling back changes or applying patches.

In data management and information systems, parandatavust refers to the ease of correcting data errors, restoring data integrity, and auditing changes. Key features include data validation rules, data lineage, audit trails, and well-defined workflows for error correction and rollback.

Measuring parandatavust often involves metrics related to repair effort and downtime, such as mean time to repair (MTTR), time to fault isolation, and the cost and number of steps required to restore a correct state. A system with high parandatavust can be brought back to functionality quickly and with predictable effort, reducing impact from faults.

Parandatavust is typically considered in relation to, and sometimes as a complement to, fault tolerance and resilience. It emphasizes the practical ability to repair and recover promptly, rather than preventing all faults in advance.