QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Abstract: In this paper, we analyse an industry driven problem of a rolling stock cyclic job scheduling problem to minimize the total cost of preventive maintenance activities. We model it as a cyclic ...