Java Project

Requirement: [login to view URL]\r\n\r\n[login to view URL]\r\n\r\nBrief: \r\n\r\nSoftware fault prediction models play an important role in software quality assurance. They identify software subsystems (modules, components, classes, or files) which are likely to contain faults. These subsystems, in turn, receive additional resources for verification and validation activities. Fault prediction models are binary classifiers typically developed using one of the supervised learning techniques\r\nfrom either a subset of the fault data from the current project or from a similar past project. In practice, it is critical that such models provide a reliable prediction performance on the data not used in training. Variance is an important reliability indicator of software fault prediction models.\r\n\r\n