Embedding Explainable AI for Quality Code Prediction in Devops

Predicting code errors can be very useful for software developers to prevent post-release defects. There are several mathematical models that make this prediction, such as logistic regression (from the linear regression family) and a black box model (a neural network). In particular, the differences between these two models will be analyzed both experimentally using project data.