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In the present era, software reliability plays a vital role in solving different kinds of problems and providing promising solutions in digital world. Because of the increase in digitalisation in today’s lifestyle and each and every service to make the life easier, good software interfaces are required. Due to the increase in the usability and dependency on software, one important feature matters a lot, that is software reliability. The success of incorporation of the heavy software in the system works only with reliability feature. Such reliability depends upon different criteria and the deployed environment. It does not always relate to one or two factors, but it depends upon various factors such as physical or virtual. The Chapter 2 focuses on the examination of relevant literature and provides a conceptual framework that explains the role of Machine Learning (ML) and profound learning in the development of intelligent (artifcial) beings. The Chapter 3 reviews the various classifcations used to predict software defects using software measurements in the literature. In this chapter, a detailed analysis of application of data mining and Machine Learning approaches used for software quality, defect and quality analysis is presented