Early Life Cycle Software Defect Prediction. Why? How?

Many researchers assume that, for software analytics, “more data is better.” We write to show that, at least for learning defect predictors, this may not be true. To demonstrate this, we analyzed hundreds of popular GitHub projects. These projects ran for 84 months and contained 3,728 commits (median values). Across these projects, most of the defects occur very early in their life cycle. Hence, d...