Defect prediction is a set of techniques used to identify a likely buggy software change (eg. a commit). Various measurements from previous changes are taken into consideration to predict weather a new change is likely to contain a bug or not. Commit messages or bug tracking system entries are usually examined to gather the measurements. Machine learning is often used to classify the buggy/clean changes. We are working now on adding a continuous notion to defect prediction. On one side by building on top the idea of continuous defect prediction in the IDE (Integrated Development Environment). On the other side by perfecting the prediction by using the unambiguous results of…