Predicting defects has been on my mind for a while and I’ve been collecting evidence of good metrics which can improve accuracy of predictions.
In this article Madeyski and Jureczko have found one more metric – Number of Distinct Committers (NDC) which seems to improve prediction models. The link to the full article is here: Which Process Metrics Can Signicantly Improve Defect Prediction Models? An Empirical Study.
The empirical evaluation includes 27 open source projects and 6 industry projects. It’s great that there is an increased body of evidence combining both the open source and the industrial projects. Especially that the results seem to be consistent.
