New video: Test Case Selection In The Presence of Class Noise
Speaker: Khaled Al-Sabbagh Abstract: Machine learning models have been increasingly used to support decision making in software engineering tasks. One example of its application is the optimization of test case selection in continuous integration. Among the challenges that hinders the application of machine learning is the amount of noise that comes in the data, which often leads to a decrease in classification performances. For this reason, we examine the impact