by kim
April 5, 2009
Which components of a large software system are the most defect-prone? In a study on a large SAP Java system, we evaluated and compared a number of defect predictors, based on code features such as complexity metrics, static error detectors, change frequency, or component imports, thus replicating a number of earlier case studies in an [...]
by kim
April 5, 2009
Given a large body of code, how do we know where to focus our quality assurance effort? By mining the software’s defect history, we can automatically learn which code features correlated with defects in the past—and leverage these correlations for new predictions: “In the past, high inheritance depth was an indicator of a high number [...]
