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Although many companies have gathered lots of such deviations from their coding standards with the aid of code checkers, hardly any management decision has been based on this kind of quality data so far. The major problem here is the gap between highly technical low level observations made by a code checker and the abstract way a manager thinks.
This article introduces an abstraction of coding standard deviations in such a way that it becomes a decision enabling indicator for software management.
