bkn-review

Network quality evaluation applies a multi-dimension scoring model covering structure, relations, binding, mapping, rules, and tests to determine pass or adjust outcomes from test outputs and current network state.

When plugin_availability for rules or tests is unavailable, the quality scoring model automatically degrades those specific scoring dimensions to maintain workflow continuity without halting the evaluation process.

The best way to automate decision dispatch is generating an adjustment_plan from computed quality scores, which reassigns specific improvement tasks to appropriate skills based on multi-dimension evaluation results.

Yes, you can use business rule lists and current network state as inputs alongside test results and plugin availability to compute quality scores and drive automated adjustment task distribution.

When plugin_availability for rules or tests is restricted, multi-dimension scoring limitations include automatic degradation of those specific dimensions, which reduces evaluation precision across affected network quality criteria.