Detecting architectural integrity violation patterns using machine learning

Recent1 years have seen a surge of research into new ways of analyzing software quality. Specifically, a set of studies has been devoted to the impact the architectural relations among files have on system maintainability and file bug-proneness. The literature has proposed a set of rules for deter