It is more about the equality than the differences A good diff algorithm will attempt to identify as much equality as possible. Everything else qualifies as differences. The metric for quality and precision is a smaller count of captured differences. The smaller this number the better, presuming differences aren't escaping undetected. False negatives, which is allowing differences through without