Without knowing more about the data and the rules, I don't think you can get away with comparing each defect with all the rules.

Having said that, if you have many rules of the form "specific_attribute equals X" or "specific_attribute falls between Y and Z", you can preprocess the rule data. For exact matches, build hash; for ranged matches, use something like a segment tree. That would reduce your algorithm from O(A*R) to O((A+R)*log2(R)), where A is the total number of attributes (of all defects together) and R the number of rules.

In reply to Re: Algorithm To Select Lines Based On Attributes by JavaFan
in thread Algorithm To Select Lines Based On Attributes by ~~David~~

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