Programmer-based fault prediction
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell · 2010
Background: Previous research has provided evidence that a combination of static code metrics and software history metrics can be used to predict with surprising success which files in the next release of a large system will have the largest numbers of defects. In contrast, very little research exists to indicate whether information about individual developers can profitably be used to improve predictions.