The Measurable Impact of Static Analysis on Student Code Quality
A semester-long controlled experiment across two sections of an introductory programming course shows that students who receive automated static analysis feedback produce measurably cleaner, more maintainable code. Cyclomatic complexity dropped 22%, test coverage rose 29%, and common code smells decreased by 38%. Here’s the methodology, the data, and what it means for code-scanning in education.