Statistical identification of instances during reconciliation process

Abstract

A system for reconciling object for a configuration management databases employs statistical rules to reduce the amount of manual identification required by conventional reconciliation techniques. As users manually identify matches between source and target datasets, statistical rules are developed based on the criteria used for matching. Those statistical rules are then used for future matching. A threshold value is adjusted as the statistical rules are used, incrementing the threshold value when the rule successfully matches source and target objects. If the threshold value exceeds a predetermined acceptance value, the system may automatically accept a match made by a statistical rule. Otherwise, suggestions of possibly applicable rules may be presented to a user, who may use the suggested rules to match objects, causing adjustment of the threshold value associated with the suggested rules used.